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Venues (Conferences, Journals, ...)
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GrowBag graphs for keyword ? (Num. hits/coverage)
Group by:
The graphs summarize 174 occurrences of 102 keywords
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Results
Found 1362 publication records. Showing 1361 according to the selection in the facets
Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
118 | C.-C. Chuang |
Fuzzy Weighted Support Vector Regression With a Fuzzy Partition. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Syst. Man Cybern. Part B ![In: IEEE Trans. Syst. Man Cybern. Part B 37(3), pp. 630-640, 2007. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
|
111 | Masayuki Karasuyama, Ryohei Nakano |
Optimizing SVR Hyperparameters via Fast Cross-Validation using AOSVR. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IJCNN ![In: Proceedings of the International Joint Conference on Neural Networks, IJCNN 2007, Celebrating 20 years of neural networks, Orlando, Florida, USA, August 12-17, 2007, pp. 1186-1191, 2007, IEEE, 978-1-4244-1379-9. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
|
95 | Chin-Chia Hsu, Chih-Hung Wu, Shih-Chien Chen, Kang-Lin Peng |
Dynamically Optimizing Parameters in Support Vector Regression: An Application of Electricity Load Forecasting. ![Search on Bibsonomy](Pics/bibsonomy.png) |
HICSS ![In: 39th Hawaii International International Conference on Systems Science (HICSS-39 2006), CD-ROM / Abstracts Proceedings, 4-7 January 2006, Kauai, HI, USA, 2006, IEEE Computer Society, 0-7695-2507-5. The full citation details ...](Pics/full.jpeg) |
2006 |
DBLP DOI BibTeX RDF |
Real-valued genetic algorithm (RGA), Forecasting accuracy, Support vector regression (SVR), Parameter optimization, Electrical load forecasting |
94 | Jiewei Li, Zhihua Cai |
A Novel Automatic Parameters Optimization Approach Based on Differential Evolution for Support Vector Regression. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ISICA ![In: Advances in Computation and Intelligence, Third International Symposium, ISICA 2008, Wuhan, China, December 19-21, 2008 Proceedings, pp. 510-519, 2008, Springer, 978-3-540-92136-3. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
Support vector Regression, parameter optimization, predictive accuracy, Differential Evolution algorithm |
94 | Younggeun Choi, Shin-Young Cheong, Nicolas Schweighofer |
Local Online Support Vector Regression for Learning Control. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CIRA ![In: Proceedings of the 7th IEEE International Symposium on Computational Intelligence in Robotics and Automation, CIRA 2007, 20-23 June 2007, Jacksonville, Florida, USA, pp. 13-18, 2007, IEEE, 1-4244-0790-7. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
|
87 | Masayuki Karasuyama, Daisuke Kitakoshi, Ryohei Nakano |
Revised Optimizer of SVR Hyperparameters Minimizing Cross-Validation Error. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IJCNN ![In: Proceedings of the International Joint Conference on Neural Networks, IJCNN 2006, part of the IEEE World Congress on Computational Intelligence, WCCI 2006, Vancouver, BC, Canada, 16-21 July 2006, pp. 319-326, 2006, IEEE, 0-7803-9490-9. The full citation details ...](Pics/full.jpeg) |
2006 |
DBLP DOI BibTeX RDF |
|
84 | Zne-Jung Lee |
A robust learning algorithm based on support vector regression and robust fuzzy cerebellar model articulation controller. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Appl. Intell. ![In: Appl. Intell. 29(1), pp. 47-55, 2008. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
Fuzzy CMAC, Particle swarm optimization, SVR, CMAC, Robust learning |
76 | Ketong Wu, Fan Cen, Huizhi Cai |
SVR-based approach to improve active sonar detection in reverberation. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IJCNN ![In: Proceedings of the International Joint Conference on Neural Networks, IJCNN 2008, part of the IEEE World Congress on Computational Intelligence, WCCI 2008, Hong Kong, China, June 1-6, 2008, pp. 563-568, 2008, IEEE, 978-1-4244-1820-6. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
|
72 | Gao Guo, Jiang-She Zhang 0001, Gai-Ying Zhang |
A method to sparsify the solution of support vector regression. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Neural Comput. Appl. ![In: Neural Comput. Appl. 18(8), pp. 919-926, 2009. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
RVM, Adaptive sparse Supervised learning (ASSL), KLASSO, Support vector regression (SVR), Sparseness |
72 | Wei-Chiang Hong, Young-Jou Lai, Ping-Feng Pai, Shao-Lun Lee, Shun-Lin Yang |
Composite of support vector regression and evolutionary algorithms in car-rental revenue forecasting. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Congress on Evolutionary Computation ![In: Proceedings of the IEEE Congress on Evolutionary Computation, CEC 2007, 25-28 September 2007, Singapore, pp. 2872-2878, 2007, IEEE, 978-1-4244-1339-3. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
immune algorithm (IA), Holt-Winters (HW) model, seasonal Holt-Winters (SHW) model, car-rental industry, Support vector regression (SVR), revenue management |
72 | Shitong Wang 0001, Jiagang Zhu, Fu-Lai Chung, Dewen Hu |
Experimental study on parameter choices in norm-r support vector regression machines with noisy input. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Soft Comput. ![In: Soft Comput. 10(3), pp. 219-223, 2006. The full citation details ...](Pics/full.jpeg) |
2006 |
DBLP DOI BibTeX RDF |
r-loss functions, Newton descent method, Support vector regression (SVR) |
71 | Anna Corazza, Sergio Di Martino, Filomena Ferrucci, Carmine Gravino, Emilia Mendes |
Applying support vector regression for web effort estimation using a cross-company dataset. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ESEM ![In: Proceedings of the Third International Symposium on Empirical Software Engineering and Measurement, ESEM 2009, October 15-16, 2009, Lake Buena Vista, Florida, USA, pp. 191-202, 2009, IEEE Computer Society, 978-1-4244-4842-5. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
|
71 | Boyang Li 0008, Jinglu Hu, Kotaro Hirasawa |
Financial time series prediction using a support vector regression network. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IJCNN ![In: Proceedings of the International Joint Conference on Neural Networks, IJCNN 2008, part of the IEEE World Congress on Computational Intelligence, WCCI 2008, Hong Kong, China, June 1-6, 2008, pp. 621-627, 2008, IEEE, 978-1-4244-1820-6. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
|
71 | Jin-Tsong Jeng, Chen-Chia Chuang |
Annealing Robust Fuzzy Basis Function for Modeling of Molecular Autoregulatory Feedback Loop Systems with Outliers. ![Search on Bibsonomy](Pics/bibsonomy.png) |
FUZZ-IEEE ![In: FUZZ-IEEE 2007, IEEE International Conference on Fuzzy Systems, Imperial College, London, UK, 23-26 July, 2007, Proceedings, pp. 1-6, 2007, IEEE. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
|
71 | Jin-Tsong Jeng, Chen-Chia Chuang, Chin Ching Hsiao |
Annealing robust fuzzy neural networks for modeling of molecular biology systems. ![Search on Bibsonomy](Pics/bibsonomy.png) |
SMC ![In: Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, Montréal, Canada, 7-10 October 2007, pp. 3113-3118, 2007, IEEE, 978-1-4244-0990-7. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
|
66 | Yanmei Li, Feng Ren, Wei Sun |
Short-Term Load Forecasting Based on Bayes and SVR. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICIRA (1) ![In: Intelligent Robotics and Applications, First International Conference, ICIRA 2008, Wuhan, China, October 15-17, 2008 Proceedings, Part I, pp. 643-650, 2008, Springer, 978-3-540-88512-2. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
SVR, Load forecasting, Knowledge Reduction, Bayes |
66 | Jian Lin, Minjing Peng |
An SVR-Based Data Farming Technique for Web Application. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CONFENIS (1) ![In: Research and Practical Issues of Enterprise Information Systems II, Volume 1, IFIP TC 8 WG 8.9 International Conference on Research and Practical Issues of Enterprise Information Systems (CONFENIS 2007), October 14-16, 2007, Beijing, China, pp. 433-441, 2007, Springer, 978-0-387-75901-2. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
Data farming, XML, Agent, Web application, SVR |
64 | Shukuan Lin, Shaomin Zhang, Jianzhong Qiao, Hualei Liu, Ge Yu 0001 |
A Parameter Choosing Method of SVR for Time Series Prediction. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICYCS ![In: Proceedings of the 9th International Conference for Young Computer Scientists, ICYCS 2008, Zhang Jia Jie, Hunan, China, November 18-21, 2008, pp. 130-135, 2008, IEEE Computer Society, 978-0-7695-3398-8. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
|
64 | Umut A. Acar, Benoît Hudson, Gary L. Miller, Todd Phillips |
SVR: Practical Engineering of a Fast 3D Meshing Algorithm*. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IMR ![In: Proceedings of the 16th International Meshing Roundtable, October 14-17, 2007, Seattle, Washington, USA, Proceedings, pp. 45-62, 2007, Springer, 978-3-540-75102-1. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
|
64 | Yongjun Ma |
Research on On-Line Modeling of Fed-Batch Fermentation Process Based on v-SVR. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICIC (2) ![In: Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, Third International Conference on Intelligent Computing, ICIC 2007, Qingdao, China, August 21-24, 2007, Proceedings, pp. 900-908, 2007, Springer, 978-3-540-74201-2. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
|
64 | Jiagang Zhu, Shitong Wang 0001, Xisheng Wu, Korris Fu-Lai Chung |
A novel adaptive SVR based filter ASBF for image restoration. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Soft Comput. ![In: Soft Comput. 10(8), pp. 665-672, 2006. The full citation details ...](Pics/full.jpeg) |
2006 |
DBLP DOI BibTeX RDF |
Image restoration, Support vector regression, Adaptive filter, Median filter |
64 | Yonggang Fu, Ruimin Shen, Hongtao Lu, Xusheng Lei |
SVR-Based Oblivious Watermarking Scheme. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ISNN (2) ![In: Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30 - June 1, 2005, Proceedings, Part II, pp. 789-794, 2005, Springer, 3-540-25913-9. The full citation details ...](Pics/full.jpeg) |
2005 |
DBLP DOI BibTeX RDF |
|
59 | Guangrui Wen, Jianan Yin, Xining Zhang, Ying Jin 0009 |
Application Research of Support Vector Machines in Dynamical System State Forecasting. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICIC (1) ![In: Advanced Intelligent Computing Theories and Applications. With Aspects of Theoretical and Methodological Issues, 4th International Conference on Intelligent Computing, ICIC 2008, Shanghai, China, September 15-18, 2008, Proceedings, pp. 712-719, 2008, Springer, 978-3-540-87440-9. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
State Forecasting, Support vector machines (SVMs), Dynamical System |
59 | Karl S. Ni, Truong Q. Nguyen |
Image Superresolution Using Support Vector Regression. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Image Process. ![In: IEEE Trans. Image Process. 16(6), pp. 1596-1610, 2007. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
|
59 | Chen-Chia Chuang, Chia-Chu Hsu, Jin-Tsong Jeng |
Integration of CMAC-GBF and Support Vector Regression Techniques. ![Search on Bibsonomy](Pics/bibsonomy.png) |
FUZZ-IEEE ![In: FUZZ-IEEE 2007, IEEE International Conference on Fuzzy Systems, Imperial College, London, UK, 23-26 July, 2007, Proceedings, pp. 1-6, 2007, IEEE. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
|
59 | Danian Zheng, Jiaxin Wang, Yannan Zhao |
Time Series Predictions Using Multi-scale Support Vector Regressions. ![Search on Bibsonomy](Pics/bibsonomy.png) |
TAMC ![In: Theory and Applications of Models of Computation, Third International Conference, TAMC 2006, Beijing, China, May 15-20, 2006, Proceedings, pp. 474-481, 2006, Springer, 3-540-34021-1. The full citation details ...](Pics/full.jpeg) |
2006 |
DBLP DOI BibTeX RDF |
|
59 | Sven F. Crone, Jose Guajardo, Richard Weber 0002 |
A study on the ability of Support Vector Regression and Neural Networks to Forecast Basic Time Series Patterns. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IFIP AI ![In: Artificial Intelligence in Theory and Practice, IFIP 19th World Computer Congress, TC 12: IFIP AI 2006 Stream, August 21-24, 2006, Santiago, Chile, pp. 149-158, 2006, Springer, 0-387-34654-6. The full citation details ...](Pics/full.jpeg) |
2006 |
DBLP DOI BibTeX RDF |
|
59 | Guodong Guo, Charles R. Dyer, Zhengyou Zhang |
Linear Combination Representation for Outlier Detection in Motion Tracking. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CVPR (2) ![In: 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 20-26 June 2005, San Diego, CA, USA, pp. 274-281, 2005, IEEE Computer Society, 0-7695-2372-2. The full citation details ...](Pics/full.jpeg) |
2005 |
DBLP DOI BibTeX RDF |
|
59 | Haiqin Yang, Laiwan Chan, Irwin King |
Support Vector Machine Regression for Volatile Stock Market Prediction. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IDEAL ![In: Intelligent Data Engineering and Automated Learning - IDEAL 2002, Third International Conference, Manchester, UK, August 12-14, Proceedings, pp. 391-396, 2002, Springer, 3-540-44025-9. The full citation details ...](Pics/full.jpeg) |
2002 |
DBLP DOI BibTeX RDF |
|
52 | Masayuki Karasuyama, Ichiro Takeuchi, Ryohei Nakano |
Reducing SVR Support Vectors by Using Backward Deletion. ![Search on Bibsonomy](Pics/bibsonomy.png) |
KES (3) ![In: Knowledge-Based Intelligent Information and Engineering Systems, 12th International Conference, KES 2008, Zagreb, Croatia, September 3-5, 2008, Proceedings, Part III, pp. 76-83, 2008, Springer, 978-3-540-85566-8. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
Backward Deletion, Support Vector Regression, Support Vectors |
52 | Dexian Zhang, Zhixiao Yang, Yanfeng Fan, Ziqiang Wang |
A New Approach to Attribute Importance Ranking for Constructing Classification Rules Based on SVR. ![Search on Bibsonomy](Pics/bibsonomy.png) |
FSKD (2) ![In: Fifth International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2008, 18-20 October 2008, Jinan, Shandong, China, Proceedings, Volume 2, pp. 75-80, 2008, IEEE Computer Society. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
|
52 | Shuzhou Jiang, Hui Xue 0006, Alan Glover, Mary A. Rutherford, Daniel Rueckert, Joseph V. Hajnal |
MRI of Moving Subjects Using Multislice Snapshot Images With Volume Reconstruction (SVR): Application to Fetal, Neonatal, and Adult Brain Studies. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Medical Imaging ![In: IEEE Trans. Medical Imaging 26(7), pp. 967-980, 2007. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
|
52 | Gaëlle Loosli, Gilles Gasso, Stéphane Canu |
Regularization Paths for nu -SVM and nu -SVR. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ISNN (3) ![In: Advances in Neural Networks - ISNN 2007, 4th International Symposium on Neural Networks, ISNN 2007, Nanjing, China, June 3-7, 2007, Proceedings, Part III, pp. 486-496, 2007, Springer, 978-3-540-72394-3. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
|
52 | Dexian Zhang, Zhixiao Yang, Yanfeng Fan, Ziqiang Wang |
Constructing Classification Rules Based on SVR and Its Derivative Characteristics. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ADMA ![In: Advanced Data Mining and Applications, Third International Conference, ADMA 2007, Harbin, China, August 6-8, 2007, Proceedings, pp. 300-309, 2007, Springer, 978-3-540-73870-1. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
|
52 | Hui Wang, Daoying Pi, Youxian Sun, Chi Xu, Sizhen Chu |
Fast Online SVR Algorithm Based Adaptive Internal Model Control. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ISNN (2) ![In: Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28 - June 1, 2006, Proceedings, Part II, pp. 922-927, 2006, Springer, 3-540-34437-3. The full citation details ...](Pics/full.jpeg) |
2006 |
DBLP DOI BibTeX RDF |
|
52 | Chun-hua Li, Zheng-Ding Lu, Ke Zhou 0001 |
SVR-Parameters Selection for Image Watermarking. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICTAI ![In: 17th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2005), 14-16 November 2005, Hong Kong, China, pp. 466-470, 2005, IEEE Computer Society, 0-7695-2488-5. The full citation details ...](Pics/full.jpeg) |
2005 |
DBLP DOI BibTeX RDF |
|
51 | Leonardo Souza Silva, Cléber Gimenez Corrêa, Leila Cristina Carneiro Bergamasco, Silvio Ricardo Rodrigues Sanches |
Revisiting 25 years of Healthcare Studies in the SVR History. ![Search on Bibsonomy](Pics/bibsonomy.png) |
SVR ![In: Proceedings of the 25th Symposium on Virtual and Augmented Reality, SVR 2023, Rio Grande, Brazil, November 6-9, 2023, pp. 112-122, 2023, ACM. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
51 | Filipe Arantes Fernandes, Diego Castro, Cláudia M. L. Werner |
A Systematic Mapping Literature of Immersive Learning from SVR Publications. ![Search on Bibsonomy](Pics/bibsonomy.png) |
SVR ![In: SVR'21: 23rd Symposium on Virtual and Augmented Reality, Virtual Event, Brazil, October 18 - 21, 2021, pp. 1-13, 2021, ACM, 978-1-4503-9552-6. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP DOI BibTeX RDF |
|
51 | João Marcelo X. N. Teixeira, Fabiana Frata Furlan Peres |
Analysis of XR Research in Brazil from 21 Years of SVR Publications. ![Search on Bibsonomy](Pics/bibsonomy.png) |
SVR ![In: 22nd Symposium on Virtual and Augmented Reality, SVR 2020, Porto de Galinhas, Brazil, November 7-10, 2020, pp. 220-231, 2020, IEEE, 978-1-7281-9231-4. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP DOI BibTeX RDF |
|
51 | Taiane Silva Barbosa, Artur Henrique Kronbauer |
Panorama of Researches Related to the Application of Virtual Reality in the Health Area in SVR. ![Search on Bibsonomy](Pics/bibsonomy.png) |
SVR ![In: 21st Symposium on Virtual and Augmented Reality, SVR 2019, Rio de Janeiro, Brazil, October 28-31, 2019, pp. 69-76, 2019, IEEE, 978-1-7281-5434-3. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP DOI BibTeX RDF |
|
51 | Daniel Ramos Pimentel, Alexandre Cardoso, Edgard Afonso Lamounier |
A Proposal for Integration of Peripherals for Natural Interaction with SVR. ![Search on Bibsonomy](Pics/bibsonomy.png) |
SVR ![In: XVII Symposium on Virtual and Augmented Reality, SVR 2015, Sao Paulo, Brazil, May 25-28, 2015, pp. 23-30, 2015, IEEE Computer Society, 978-1-4673-7204-6. The full citation details ...](Pics/full.jpeg) |
2015 |
DBLP DOI BibTeX RDF |
|
51 | Fátima L. S. Nunes, Liliane S. Machado, Ronei Marcos de Moraes |
Evolution of Virtual and Augmented Reality in Health: A Reflection from 15 Years of SVR. ![Search on Bibsonomy](Pics/bibsonomy.png) |
SVR ![In: 16th Symposium on Virtual and Augmented Reality, SVR 2014, Piata Salvador, Bahia, Brazil, May 12-15, 2014, pp. 220-229, 2014, IEEE Computer Society, 978-1-4799-4261-9. The full citation details ...](Pics/full.jpeg) |
2014 |
DBLP DOI BibTeX RDF |
|
50 | Wei Teng, Yan Li, Hongxing Sun, Haojie Chen |
Applying SVR-PPSO, SVR-SSO, and SVR-BBO to estimate california bearing capacity of stabilized pond ash using admixtures. ![Search on Bibsonomy](Pics/bibsonomy.png) |
J. Intell. Fuzzy Syst. ![In: J. Intell. Fuzzy Syst. 46(4), pp. 8311-8327, 2024. The full citation details ...](Pics/full.jpeg) |
2024 |
DBLP DOI BibTeX RDF |
|
48 | Ling Wang, Zhi-Chun Mu |
A New Support Vector Neural Network Inference System. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Intelligent Information Processing ![In: Intelligent Information Processing II, IFIP TC12/WG12.3 International Conference on Intelligent Information Processing (IIP 2004), October 21-23, 2004, Beijing, China, pp. 485-494, 2004, Springer, 0-387-23151-X. The full citation details ...](Pics/full.jpeg) |
2004 |
DBLP DOI BibTeX RDF |
support vector neural network inference system (SVNNIS), support vector machine(SVM), support vector regression(SVR), regression estimation |
47 | Yan Wang 0028, Juexin Wang, Wei Du 0002, Chuncai Wang, Yanchun Liang 0001, Chunguang Zhou, Lan Huang 0002 |
Immune Particle Swarm Optimization for Support Vector Regression on Forest Fire Prediction. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ISNN (2) ![In: Advances in Neural Networks - ISNN 2009, 6th International Symposium on Neural Networks, ISNN 2009, Wuhan, China, May 26-29, 2009, Proceedings, Part II, pp. 382-390, 2009, Springer, 978-3-642-01509-0. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
Particle swarm optimization, Support vector regression, Immune algorithm |
47 | Yan Wang 0028, Juexin Wang, Wei Du 0002, Chen Zhang, Yu Zhang, Chunguang Zhou |
Parameters optimization of support vector regression based on immune particle swarm optimization algorithm. ![Search on Bibsonomy](Pics/bibsonomy.png) |
GEC Summit ![In: Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation, GEC Summit 2009, Shanghai, China, June 12-14, 2009, pp. 997-1000, 2009, ACM, 978-1-60558-326-6. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
particle swarm optimization, support vector regression, immune algorithm, parameters optimization |
47 | Anna Corazza, Sergio Di Martino, Filomena Ferrucci, Carmine Gravino, Emilia Mendes |
Using Support Vector Regression for Web Development Effort Estimation. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IWSM/Mensura ![In: Software Process and Product Measurement, International Conferences IWSM 2009 and Mensura 2009, Amsterdam, The Netherlands, November 4-6, 2009. Proceedings, pp. 255-271, 2009, Springer, 978-3-642-05414-3. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
Empirical Web Engineering, Support Vector Regression, Effort Estimation |
47 | Abdul Majid, Yeon Soo Lee |
Predicting lattice constant of cubic perovskites using support vector regression. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICIS ![In: Proceedings of the 2nd International Conference on Interaction Sciences: Information Technology, Culture and Human (ICIS 2009), Seoul, Korea, 24-26 November 2009, pp. 175-183, 2009, ACM, 978-1-60558-710-3. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
cubic perovskites, lattice constant prediction, support vector regression, linear regression |
47 | Xu Sun 0001, Houfeng Wang, Bo Wang 0003 |
Predicting Chinese Abbreviations from Definitions: An Empirical Learning Approach Using Support Vector Regression. ![Search on Bibsonomy](Pics/bibsonomy.png) |
J. Comput. Sci. Technol. ![In: J. Comput. Sci. Technol. 23(4), pp. 602-611, 2008. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
abbreviation prediction, support vector regression, statistical natural language processing, word clustering |
47 | Xiangyang Wang 0001, Wei Qi, Panpan Niu |
A New Adaptive Digital Audio Watermarking Based on Support Vector Regression. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Speech Audio Process. ![In: IEEE Trans. Speech Audio Process. 15(8), pp. 2270-2277, 2007. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
|
47 | Xiaojuan Xu, Hong Peng 0001, Chengyuan He |
DWT-Based Audio Watermarking Using Support Vector Regression and Subsampling. ![Search on Bibsonomy](Pics/bibsonomy.png) |
WILF ![In: Applications of Fuzzy Sets Theory, 7th International Workshop on Fuzzy Logic and Applications, WILF 2007, Camogli, Italy, July 7-10, 2007, Proceedings, pp. 136-144, 2007, Springer, 978-3-540-73399-7. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
|
47 | Wei-Chiang Hong, Shao-Lun Lee, Chien-Yuan Lai, Yi-Hsien Wu, Kuo-Liang Wang |
The potentiality of support vector regression with immune algorithm for regional electric load forecasting. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IJCNN ![In: Proceedings of the International Joint Conference on Neural Networks, IJCNN 2007, Celebrating 20 years of neural networks, Orlando, Florida, USA, August 12-17, 2007, pp. 2476-2481, 2007, IEEE, 978-1-4244-1379-9. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
|
47 | Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu |
Local Support Vector Regression for Financial Time Series Prediction. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IJCNN ![In: Proceedings of the International Joint Conference on Neural Networks, IJCNN 2006, part of the IEEE World Congress on Computational Intelligence, WCCI 2006, Vancouver, BC, Canada, 16-21 July 2006, pp. 1622-1627, 2006, IEEE, 0-7803-9490-9. The full citation details ...](Pics/full.jpeg) |
2006 |
DBLP DOI BibTeX RDF |
|
47 | Gang Wang 0004, Dit-Yan Yeung, Frederick H. Lochovsky |
Two-dimensional solution path for support vector regression. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICML ![In: Machine Learning, Proceedings of the Twenty-Third International Conference (ICML 2006), Pittsburgh, Pennsylvania, USA, June 25-29, 2006, pp. 993-1000, 2006, ACM, 1-59593-383-2. The full citation details ...](Pics/full.jpeg) |
2006 |
DBLP DOI BibTeX RDF |
|
47 | Shitong Wang 0001, Jiagang Zhu, Fu-Lai Chung, Lin Qing, Dewen Hu |
Theoretically Optimal Parameter Choices for Support Vector Regression Machines with Noisy Input. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Soft Comput. ![In: Soft Comput. 9(10), pp. 732-741, 2005. The full citation details ...](Pics/full.jpeg) |
2005 |
DBLP DOI BibTeX RDF |
Regularized linear regression, Huber loss functions, Norm-r loss functions, Support vectors |
47 | Lin Guo, Jayavel Shanmugasundaram, Kevin S. Beyer, Eugene J. Shekita |
Efficient Inverted Lists and Query Algorithms for Structured Value Ranking in Update-Intensive Relational Databases. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICDE ![In: Proceedings of the 21st International Conference on Data Engineering, ICDE 2005, 5-8 April 2005, Tokyo, Japan, pp. 298-309, 2005, IEEE Computer Society, 0-7695-2285-8. The full citation details ...](Pics/full.jpeg) |
2005 |
DBLP DOI BibTeX RDF |
|
47 | Pratik Sharma, Devam Awasare, Bishal Jaiswal, Srivats Mohan, N. Abinaya, Ishan Darwhekar, Anand SVR, Bharadwaj Amrutur, Aditya Gopalan, Parimal Parag, Himanshu Tyagi |
On the Latency in Vehicular Control using Video Streaming over Wi-Fi. ![Search on Bibsonomy](Pics/bibsonomy.png) |
NCC ![In: 2020 National Conference on Communications, NCC 2020, Kharagpur, India, February 21-23, 2020, pp. 1-6, 2020, IEEE, 978-1-7281-5120-5. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP DOI BibTeX RDF |
|
47 | Yogesh Simmhan, Malati Hegde, Rajesh Zele, Sachchida N. Tripathi, Srijith Nair, Sumit K. Monga, Ravi Sahu, Kuldeep Dixit, Ronak Sutaria, Brijesh Mishra, Anamika Sharma, Anand SVR |
SATVAM: Toward an IoT Cyber-Infrastructure for Low-Cost Urban Air Quality Monitoring. ![Search on Bibsonomy](Pics/bibsonomy.png) |
eScience ![In: 15th International Conference on eScience, eScience 2019, San Diego, CA, USA, September 24-27, 2019, pp. 57-66, 2019, IEEE, 978-1-7281-2451-3. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP DOI BibTeX RDF |
|
47 | Rashmi Ballamajalu, Srijith Nair, Shayal Chhabra, Sumit K. Monga, Anand SVR, Malati Hegde, Yogesh Simmhan, Anamika Sharma, Chandan M. Choudhary, Ronak Sutaria, Rajesh Zele, Sachchida N. Tripathi |
Toward SATVAM: An IoT Network for Air Quality Monitoring. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/1811.07847, 2018. The full citation details ...](Pics/full.jpeg) |
2018 |
DBLP BibTeX RDF |
|
40 | Seungmin Rho, Byeong-jun Han, Eenjun Hwang |
SVR-based music mood classification and context-based music recommendation. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ACM Multimedia ![In: Proceedings of the 17th International Conference on Multimedia 2009, Vancouver, British Columbia, Canada, October 19-24, 2009, pp. 713-716, 2009, ACM, 978-1-60558-608-3. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
music mood, ontology, classification, recommendation, support vector regression |
40 | Yumao Lu, Vwani P. Roychowdhury |
Parallel randomized sampling for support vector machine (SVM) and support vector regression (SVR). ![Search on Bibsonomy](Pics/bibsonomy.png) |
Knowl. Inf. Syst. ![In: Knowl. Inf. Syst. 14(2), pp. 233-247, 2008. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
Support vector machine, Parallel algorithm, Support vector regression, Randomized sampling |
40 | Dexian Zhang, Ailing Duan, Yanfeng Fan, Ziqiang Wang |
A New Approach to Division of Attribute Space for SVR Based Classification Rule Extraction. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ISNN (1) ![In: Advances in Neural Networks - ISNN 2008, 5th International Symposium on Neural Networks, ISNN 2008, Beijing, China, September 24-28, 2008, Proceedings, Part I, pp. 691-700, 2008, Springer, 978-3-540-87731-8. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
|
40 | Wei-Chiang Hong, Ping-Feng Pai, Shun-Lin Yang, Chien-Yuan Lai |
Continuous Ant Colony Optimization in a SVR Urban Traffic Forecasting Model. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IWANN ![In: Computational and Ambient Intelligence, 9th International Work-Conference on Artificial Neural Networks, IWANN 2007, San Sebastián, Spain, June 20-22, 2007, Proceedings, pp. 765-773, 2007, Springer, 978-3-540-73006-4. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
Traffic flow forecasting, Continuous ant colony optimization (CACO), SARIMA, Inter-urban traffic, Support vector regression |
40 | Jun Li, Hong Peng 0001, Zheng Pei 0001 |
Adaptive Watermarking Algorithm Using SVR in Wavelet Domain. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ACIS-ICIS ![In: 6th Annual IEEE/ACIS International Conference on Computer and Information Science (ICIS 2007), 11-13 July 2007, Melbourne, Australia, pp. 207-211, 2007, IEEE Computer Society, 0-7695-2841-4. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
|
40 | Wensen An, Yanguang Sun |
An Equivalence between SILF-SVR and Ordinary Kriging. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Neural Process. Lett. ![In: Neural Process. Lett. 23(2), pp. 133-141, 2006. The full citation details ...](Pics/full.jpeg) |
2006 |
DBLP DOI BibTeX RDF |
soft insensitive loss function, support vector regression, equivalence, Kriging |
40 | Xianzhong Tian, Tongsen Hu |
A SVR-based Fuzzy System. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IMSCCS (2) ![In: Interdisciplinary and Multidisciplinary Research in Computer Science, IEEE CS Proceeding of the First International Multi-Symposium of Computer and Computational Sciences (IMSCCS|06), June 20-24, 2006, Zhejiang University, Hangzhou, China, Vol. 2, pp. 483-487, 2006, IEEE Computer Society. The full citation details ...](Pics/full.jpeg) |
2006 |
DBLP DOI BibTeX RDF |
|
40 | Yaofeng Xue, Jingqi Yuan |
A SVR-Based Multiple Modeling Algorithm for Antibiotic Fermentation Process Using FCM. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ISNN (3) ![In: Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30 - June 1, 2005, Proceedings, Part III, pp. 691-696, 2005, Springer, 3-540-25914-7. The full citation details ...](Pics/full.jpeg) |
2005 |
DBLP DOI BibTeX RDF |
|
40 | Ai-jun Chen, Zhi-Huan Song, Ping Li 0017 |
Soft Sensor Modeling Based on DICA-SVR. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICIC (1) ![In: Advances in Intelligent Computing, International Conference on Intelligent Computing, ICIC 2005, Hefei, China, August 23-26, 2005, Proceedings, Part I, pp. 868-877, 2005, Springer, 3-540-28226-2. The full citation details ...](Pics/full.jpeg) |
2005 |
DBLP DOI BibTeX RDF |
|
37 | In-Yong Seo, Ho-Cheol Shin, Moon-Ghu Park, Seong-Jun Kim |
GLRT Based Fault Detection in Sensor Drift Monitoring System. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICIC (2) ![In: Emerging Intelligent Computing Technology and Applications. With Aspects of Artificial Intelligence, 5th International Conference on Intelligent Computing, ICIC 2009, Ulsan, South Korea, September 16-19, 2009, Proceedings, pp. 600-609, 2009, Springer, 978-3-642-04019-1. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
GLRT, NPP, PCA, SVR |
35 | Jian-Bo Yang, Chong Jin Ong |
Feature selection for support vector regression using probabilistic prediction. ![Search on Bibsonomy](Pics/bibsonomy.png) |
KDD ![In: Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, July 25-28, 2010, pp. 343-352, 2010, ACM, 978-1-4503-0055-1. The full citation details ...](Pics/full.jpeg) |
2010 |
DBLP DOI BibTeX RDF |
feature selection, support vector regression, feature ranking, random permutation, probabilistic predictions |
35 | Guo-Zheng Li 0001, Hao-Hua Meng, Mary Qu Yang, Jack Y. Yang |
Combining support vector regression with feature selection for multivariate calibration. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Neural Comput. Appl. ![In: Neural Comput. Appl. 18(7), pp. 813-820, 2009. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
Multivariate calibration, Feature selection, Artificial neural networks, Support vector regression, Partial least square |
35 | Jian Cheng 0004, Jian-Sheng Qian, Guang-dong Niu, Yi-Nan Guo 0001 |
Gas Concentration Forecasting Based on Support Vector Regression in Correlation Space via KPCA. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ISNN (1) ![In: Advances in Neural Networks - ISNN 2009, 6th International Symposium on Neural Networks, ISNN 2009, Wuhan, China, May 26-29, 2009, Proceedings, Part I, pp. 937-945, 2009, Springer, 978-3-642-01506-9. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
|
35 | Horng-Lin Shieh |
A Robust Support Vector Regression Based on Fuzzy Clustering. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEA/AIE ![In: Next-Generation Applied Intelligence, 22nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2009, Tainan, Taiwan, June 24-27, 2009. Proceedings, pp. 262-270, 2009, Springer, 978-3-642-02567-9. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
robust, noise, Fuzzy Clustering, outlier, Support vector regression |
35 | Gang Wang 0004, Dit-Yan Yeung, Frederick H. Lochovsky |
A New Solution Path Algorithm in Support Vector Regression. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Neural Networks ![In: IEEE Trans. Neural Networks 19(10), pp. 1753-1767, 2008. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
|
35 | Gérard Bloch, Fabien Lauer, Guillaume Colin |
On Learning Machines for Engine Control. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Computational Intelligence in Automotive Applications ![In: Computational Intelligence in Automotive Applications, pp. 125-144, 2008, Springer, 978-3-540-79256-7. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
|
35 | Duy Nguyen-Tuong, Jan Peters 0001 |
Local Gaussian process regression for real-time model-based robot control. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IROS ![In: 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, September 22-26, 2008, Acropolis Convention Center, Nice, France, pp. 380-385, 2008, IEEE, 978-1-4244-2057-5. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
|
35 | Petrônio L. Braga, Adriano L. I. Oliveira, Silvio R. L. Meira |
A GA-based feature selection and parameters optimization for support vector regression applied to software effort estimation. ![Search on Bibsonomy](Pics/bibsonomy.png) |
SAC ![In: Proceedings of the 2008 ACM Symposium on Applied Computing (SAC), Fortaleza, Ceara, Brazil, March 16-20, 2008, pp. 1788-1792, 2008, ACM, 978-1-59593-753-7. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
genetic algorithm, feature selection, support vector regression, software effort estimation |
35 | Brett Bethke, Jonathan P. How, Asuman E. Ozdaglar |
Approximate dynamic programming using support vector regression. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CDC ![In: Proceedings of the 47th IEEE Conference on Decision and Control, CDC 2008, December 9-11, 2008, Cancún, Mexico, pp. 3811-3816, 2008, IEEE, 978-1-4244-3123-6. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
|
35 | Tanasanee Phienthrakul, Boonserm Kijsirikul |
Adaptive stabilized multi-RBF kernel for Support Vector Regression. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IJCNN ![In: Proceedings of the International Joint Conference on Neural Networks, IJCNN 2008, part of the IEEE World Congress on Computational Intelligence, WCCI 2008, Hong Kong, China, June 1-6, 2008, pp. 3545-3550, 2008, IEEE, 978-1-4244-1820-6. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
|
35 | Feng Liu, Hu-cheng An, Jiaming Li, Lin-dong Ge |
Blind equalization Using nu- support vector regressor for constant modulus signals. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IJCNN ![In: Proceedings of the International Joint Conference on Neural Networks, IJCNN 2008, part of the IEEE World Congress on Computational Intelligence, WCCI 2008, Hong Kong, China, June 1-6, 2008, pp. 161-164, 2008, IEEE, 978-1-4244-1820-6. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
|
35 | Bo Huang 0005, Zhihua Cai, Qiong Gu, Changjun Chen |
Using Support Vector Regression for Classification. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ADMA ![In: Advanced Data Mining and Applications, 4th International Conference, ADMA 2008, Chengdu, China, October 8-10, 2008. Proceedings, pp. 581-588, 2008, Springer, 978-3-540-88191-9. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
SMO, J48, Classification, SVM, Support Vector Regression, Model tree |
35 | Dalong Li, Steven J. Simske, Russell M. Mersereau |
Image Denoising Through Support Vector Regression. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICIP (4) ![In: Proceedings of the International Conference on Image Processing, ICIP 2007, September 16-19, 2007, San Antonio, Texas, USA, pp. 425-428, 2007, IEEE, 978-1-4244-1436-9. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
|
35 | Guo-Zheng Li 0001, Hao-Hua Meng, Mary Qu Yang, Jack Y. Yang |
Support Vector Regression with Feature Selection for the Multivariate Calibration of Spectrofluorimetric Determination of Aromatic Amino Acids. ![Search on Bibsonomy](Pics/bibsonomy.png) |
BIBE ![In: Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, BIBE 2007, October 14-17, 2007, Harvard Medical School, Boston, MA, USA, pp. 842-848, 2007, IEEE Computer Society, 978-1-4244-1509-0. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
|
35 | Chao Zhang, Pu Han, Guiji Tang, Guori Ji |
Simulation of Time Series Prediction Based on Smooth Support Vector Regression. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ISNN (3) ![In: Advances in Neural Networks - ISNN 2007, 4th International Symposium on Neural Networks, ISNN 2007, Nanjing, China, June 3-7, 2007, Proceedings, Part III, pp. 545-552, 2007, Springer, 978-3-540-72394-3. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
turbine, support vector machine, regression, time series prediction, smooth method |
35 | Ruxin Qin, Jing Chen, Naiyang Deng, Yingjie Tian 0001 |
A Leave-One-Out Bound for nu-Support Vector Regression. ![Search on Bibsonomy](Pics/bibsonomy.png) |
International Conference on Computational Science (3) ![In: Computational Science - ICCS 2007, 7th International Conference, Beijing, China, May 27 - 30, 2007, Proceedings, Part III, pp. 669-676, 2007, Springer, 978-3-540-72587-9. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
|
35 | Noslén Hernández-González, Rolando J. Biscay, Isneri Talavera-Bustamante |
Support Vector Regression Methods for Functional Data. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CIARP ![In: Progress in Pattern Recognition, Image Analysis and Applications, 12th Iberoamericann Congress on Pattern Recognition, CIARP 2007, Valparaiso, Chile, November 13-16, 2007, Proceedings, pp. 564-573, 2007, Springer, 978-3-540-76724-4. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
Functional Data, Support Vector Regression, Kernel Function |
35 | Dalong Li, Steven J. Simske, Russell M. Mersereau |
Single Image Super-Resolution Based on Support Vector Regression. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IJCNN ![In: Proceedings of the International Joint Conference on Neural Networks, IJCNN 2007, Celebrating 20 years of neural networks, Orlando, Florida, USA, August 12-17, 2007, pp. 2898-2901, 2007, IEEE, 978-1-4244-1379-9. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
|
35 | Franck Dufrenois, Denis Hamad |
Fuzzy weighted support vector regression for multiple linear model estimation : application to object tracking in image sequences. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IJCNN ![In: Proceedings of the International Joint Conference on Neural Networks, IJCNN 2007, Celebrating 20 years of neural networks, Orlando, Florida, USA, August 12-17, 2007, pp. 1289-1294, 2007, IEEE, 978-1-4244-1379-9. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
|
35 | Liefeng Bo, Ling Wang 0003, Licheng Jiao |
Selecting a Reduced Set for Building Sparse Support Vector Regression in the Primal. ![Search on Bibsonomy](Pics/bibsonomy.png) |
PAKDD ![In: Advances in Knowledge Discovery and Data Mining, 11th Pacific-Asia Conference, PAKDD 2007, Nanjing, China, May 22-25, 2007, Proceedings, pp. 35-46, 2007, Springer, 978-3-540-71700-3. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
|
35 | Manel Martínez-Ramón, José Luis Rojo-Álvarez, Gustavo Camps-Valls, Jordi Muñoz-Marí, Ángel Navia-Vázquez, Emilio Soria-Olivas, Aníbal R. Figueiras-Vidal |
Support Vector Machines for Nonlinear Kernel ARMA System Identification. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Neural Networks ![In: IEEE Trans. Neural Networks 17(6), pp. 1617-1622, 2006. The full citation details ...](Pics/full.jpeg) |
2006 |
DBLP DOI BibTeX RDF |
|
35 | Ivor Wai-Hung Tsang, James Tin-Yau Kwok, Jacek M. Zurada |
Generalized Core Vector Machines. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Neural Networks ![In: IEEE Trans. Neural Networks 17(5), pp. 1126-1140, 2006. The full citation details ...](Pics/full.jpeg) |
2006 |
DBLP DOI BibTeX RDF |
|
35 | Zhifeng Hao, Wen Wen, Xiaowei Yang, Jie Lu 0001, Guangquan Zhang 0001 |
A Fast Data Preprocessing Procedure for Support Vector Regression. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IDEAL ![In: Intelligent Data Engineering and Automated Learning - IDEAL 2006, 7th International Conference, Burgos, Spain, September 20-23, 2006, Proceedings, pp. 48-56, 2006, Springer, 3-540-45485-3. The full citation details ...](Pics/full.jpeg) |
2006 |
DBLP DOI BibTeX RDF |
|
35 | Guangyu Zhu, Changsheng Xu, Qingming Huang, Wen Gao 0001 |
Automatic Multi-Player Detection and Tracking in Broadcast Sports Video using Support Vector Machine and Particle Filter. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICME ![In: Proceedings of the 2006 IEEE International Conference on Multimedia and Expo, ICME 2006, July 9-12 2006, Toronto, Ontario, Canada, pp. 1629-1632, 2006, IEEE Computer Society, 1-4244-0367-7. The full citation details ...](Pics/full.jpeg) |
2006 |
DBLP DOI BibTeX RDF |
|
35 | Wenjian Wang |
An Incremental Learning Strategy for Support Vector Regression. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Neural Process. Lett. ![In: Neural Process. Lett. 21(3), pp. 175-188, 2005. The full citation details ...](Pics/full.jpeg) |
2005 |
DBLP DOI BibTeX RDF |
kernel selection, support vector machine, regression, incremental learning |
35 | Yuh-Jye Lee, Wen-Feng Hsieh, Chien-Ming Huang 0002 |
epsilon-SSVR: A Smooth Support Vector Machine for epsilon-Insensitive Regression. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Knowl. Data Eng. ![In: IEEE Trans. Knowl. Data Eng. 17(5), pp. 678-685, 2005. The full citation details ...](Pics/full.jpeg) |
2005 |
DBLP DOI BibTeX RDF |
epsilon{hbox{-}}{rm{insensitive}} loss function, epsilon{hbox{-}}{rm{smooth}} support vector regression, Newton-Armijo algorithm, support vector machine, kernel method |
35 | Yangguang Liu, Qinming He |
Concept Updating with Support Vector Machines. ![Search on Bibsonomy](Pics/bibsonomy.png) |
WAIM ![In: Advances in Web-Age Information Management, 6th International Conference, WAIM 2005, Hangzhou, China, October 11-13, 2005, Proceedings, pp. 492-501, 2005, Springer, 3-540-29227-6. The full citation details ...](Pics/full.jpeg) |
2005 |
DBLP DOI BibTeX RDF |
|
35 | Fei Xing, Ping Guo 0002 |
Support Vector Regression for Software Reliability Growth Modeling and Prediction. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ISNN (1) ![In: Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30 - June 1, 2005, Proceedings, Part I, pp. 925-930, 2005, Springer, 3-540-25912-0. The full citation details ...](Pics/full.jpeg) |
2005 |
DBLP DOI BibTeX RDF |
|
35 | Zhengjia He, Qiao Hu, Yanyang Zi, Zhousuo Zhang, Xuefeng Chen 0002 |
Hybrid Intelligent Forecasting Model Based on Empirical Mode Decomposition, Support Vector Regression and Adaptive Linear Neural Network. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICNC (2) ![In: Advances in Natural Computation, First International Conference, ICNC 2005, Changsha, China, August 27-29, 2005, Proceedings, Part II, pp. 324-327, 2005, Springer, 3-540-28325-0. The full citation details ...](Pics/full.jpeg) |
2005 |
DBLP DOI BibTeX RDF |
|
35 | Haoran Zhang 0001, Xiaodong Wang 0005, Changjiang Zhang, Xiuling Xu |
A Fast SMO Training Algorithm for Support Vector Regression. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICNC (1) ![In: Advances in Natural Computation, First International Conference, ICNC 2005, Changsha, China, August 27-29, 2005, Proceedings, Part I, pp. 221-224, 2005, Springer, 3-540-28323-4. The full citation details ...](Pics/full.jpeg) |
2005 |
DBLP DOI BibTeX RDF |
|
35 | Gabriele Steidl, Stephan Didas, Julia Neumann |
Relations Between Higher Order TV Regularization and Support Vector Regression. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Scale-Space ![In: Scale Space and PDE Methods in Computer Vision, 5th International Conference, Scale-Space 2005, Hofgeismar, Germany, April 7-9, 2005, Proceedings, pp. 515-527, 2005, Springer, 3-540-25547-8. The full citation details ...](Pics/full.jpeg) |
2005 |
DBLP DOI BibTeX RDF |
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