Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
22 | Rakesh Deivachilai, Tim Oates 0001 |
On-Line Signature Verification Using Symbolic Aggregate Approximation (SAX) and Sequential Mining Optimization (SMO). ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICMLA ![In: 13th International Conference on Machine Learning and Applications, ICMLA 2014, Detroit, MI, USA, December 3-6, 2014, pp. 195-200, 2014, IEEE, 978-1-4799-7415-3. The full citation details ...](Pics/full.jpeg) |
2014 |
DBLP DOI BibTeX RDF |
|
22 | Juanxi Lin, Mengnan Song, Jinglu Hu |
An SMO Approach to Fast SVM for Classification of Large Scale Data. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICITCS ![In: 2014 International Conference on IT Convergence and Security, 10.1109/ICITCS.2014, Beijing, China, October 28-30, 2014, pp. 1-4, 2014, IEEE Computer Society, 978-1-4799-6541-0. The full citation details ...](Pics/full.jpeg) |
2014 |
DBLP DOI BibTeX RDF |
|
22 | Satadru Dey, Beshah Ayalew, Pierluigi Pisu |
Combined estimation of State-of-Charge and State-of-Health of Li-ion battery cells using SMO on electrochemical model. ![Search on Bibsonomy](Pics/bibsonomy.png) |
VSS ![In: 13th International Workshop on Variable Structure Systems, VSS 2014, Nantes, France, June 29 - July 2, 2014, pp. 1-6, 2014, IEEE. The full citation details ...](Pics/full.jpeg) |
2014 |
DBLP DOI BibTeX RDF |
|
22 | Xiaojian Zhou, YiZhong Ma |
A Study on SMO Algorithm for Solving ϵ-SVR with Non-PSD Kernels. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Commun. Stat. Simul. Comput. ![In: Commun. Stat. Simul. Comput. 42(10), pp. 2175-2196, 2013. The full citation details ...](Pics/full.jpeg) |
2013 |
DBLP DOI BibTeX RDF |
|
22 | Tobias Glasmachers |
The Planning-ahead SMO Algorithm. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/1307.8305, 2013. The full citation details ...](Pics/full.jpeg) |
2013 |
DBLP BibTeX RDF |
|
22 | Xigao Shao, Kun Wu, Bifeng Liao |
Single Directional SMO Algorithm for Least Squares Support Vector Machines. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Comput. Intell. Neurosci. ![In: Comput. Intell. Neurosci. 2013, pp. 968438:1-968438:7, 2013. The full citation details ...](Pics/full.jpeg) |
2013 |
DBLP DOI BibTeX RDF |
|
22 | Ria Rodette G. de la Cruz, Trizia Roby-Ann C. Roque, John Daryl G. Rosas, Charles Vincent M. Vera Cruz, Macario O. Cordel II, Joel P. Ilao, Adrian Paul J. Rabe, J. Parungao Petronilo |
SMO-based System for identifying common lung conditions using histogram. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ISMICT ![In: 7th International Symposium on Medical Information and Communication Technology, ISMICT 2013, Tokyo, Japan, March 6-8, 2013, pp. 112-116, 2013, IEEE, 978-1-4673-5770-8. The full citation details ...](Pics/full.jpeg) |
2013 |
DBLP DOI BibTeX RDF |
|
22 | Jorge López Lázaro, José R. Dorronsoro |
The convergence rate of linearly separable SMO. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IJCNN ![In: The 2013 International Joint Conference on Neural Networks, IJCNN 2013, Dallas, TX, USA, August 4-9, 2013, pp. 1-7, 2013, IEEE, 978-1-4673-6128-6. The full citation details ...](Pics/full.jpeg) |
2013 |
DBLP DOI BibTeX RDF |
|
22 | Jorge López Lázaro, José R. Dorronsoro |
Simple Proof of Convergence of the SMO Algorithm for Different SVM Variants. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Neural Networks Learn. Syst. ![In: IEEE Trans. Neural Networks Learn. Syst. 23(7), pp. 1142-1147, 2012. The full citation details ...](Pics/full.jpeg) |
2012 |
DBLP DOI BibTeX RDF |
|
22 | Feng Cai, Vladimir Cherkassky |
Generalized SMO Algorithm for SVM-Based Multitask Learning. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Neural Networks Learn. Syst. ![In: IEEE Trans. Neural Networks Learn. Syst. 23(6), pp. 997-1003, 2012. The full citation details ...](Pics/full.jpeg) |
2012 |
DBLP DOI BibTeX RDF |
|
22 | Hamed Rezaei, Mohammad Javad Khosrowjerdi, Ali Saadat |
SMO-based fault tolerant control design for three phase induction motors. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IECON ![In: 38th Annual Conference on IEEE Industrial Electronics Society, IECON 2012, Montreal, QC, Canada, October 25-28, 2012, pp. 2494-2499, 2012, IEEE, 978-1-4673-2419-9. The full citation details ...](Pics/full.jpeg) |
2012 |
DBLP DOI BibTeX RDF |
|
22 | Miguel Romero 0001, Nieves R. Brisaboa, M. Andrea Rodríguez |
The SMO-index: a succinct moving object structure for timestamp and interval queries. ![Search on Bibsonomy](Pics/bibsonomy.png) |
SIGSPATIAL/GIS ![In: SIGSPATIAL 2012 International Conference on Advances in Geographic Information Systems (formerly known as GIS), SIGSPATIAL'12, Redondo Beach, CA, USA, November 7-9, 2012, pp. 498-501, 2012, ACM, 978-1-4503-1691-0. The full citation details ...](Pics/full.jpeg) |
2012 |
DBLP DOI BibTeX RDF |
|
22 | Siham Ouamour, Halim Sayoud |
Authorship attribution of ancient texts written by ten arabic travelers using a SMO-SVM classifier. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICCIT ![In: International Conference on Communications and Information Technology, ICCIT 2012, Hammamet, Tunisia, June 26-28, 2012, pp. 44-47, 2012, IEEE, 978-1-4673-1949-2. The full citation details ...](Pics/full.jpeg) |
2012 |
DBLP DOI BibTeX RDF |
|
22 | Xili Zhang, Wei-Guo Zhang, Weijun Xu |
An optimization model of the portfolio adjusting problem with fuzzy return and a SMO algorithm. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Expert Syst. Appl. ![In: Expert Syst. Appl. 38(4), pp. 3069-3074, 2011. The full citation details ...](Pics/full.jpeg) |
2011 |
DBLP DOI BibTeX RDF |
|
22 | Jorge López Lázaro, Johan A. K. Suykens |
First and Second Order SMO Algorithms for LS-SVM Classifiers. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Neural Process. Lett. ![In: Neural Process. Lett. 33(1), pp. 31-44, 2011. The full citation details ...](Pics/full.jpeg) |
2011 |
DBLP DOI BibTeX RDF |
|
22 | F. Simeone, Salvo Viola |
The SMO Project: A Submarine Multidisciplinary Observatory in Deep-Sea. ![Search on Bibsonomy](Pics/bibsonomy.png) |
MASS ![In: IEEE 8th International Conference on Mobile Adhoc and Sensor Systems, MASS 2011, Valencia, Spain, October 17-22, 2011, pp. 898-903, 2011, IEEE Computer Society, 978-1-4577-1345-3. The full citation details ...](Pics/full.jpeg) |
2011 |
DBLP DOI BibTeX RDF |
|
22 | Jhing-Fa Wang, Jr-Shiang Peng, Jia-Ching Wang, Po-Chuan Lin, Ta-Wen Kuan |
Hardware/software co-design for fast-trainable speaker identification system based on SMO. ![Search on Bibsonomy](Pics/bibsonomy.png) |
SMC ![In: Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, Anchorage, Alaska, USA, October 9-12, 2011, pp. 1621-1625, 2011, IEEE, 978-1-4577-0652-3. The full citation details ...](Pics/full.jpeg) |
2011 |
DBLP DOI BibTeX RDF |
|
22 | Jhing-Fa Wang, Jr-Shiang Peng, Po-Chuan Lin, Bo-Wei Chen, Nai-Sheng Shih |
Security-aware VLSI design for speaker identification based on efficient SMO architecture. ![Search on Bibsonomy](Pics/bibsonomy.png) |
iCAST ![In: 3rd International Conference on Awareness Science and Technology, iCAST 2011, Dalian, China, September 27-30, 2011, pp. 362-365, 2011, IEEE, 978-1-4577-0887-9. The full citation details ...](Pics/full.jpeg) |
2011 |
DBLP DOI BibTeX RDF |
|
22 | Dmitry Pechyony, Rauf Izmailov, Akshay Vashist, Vladimir Vapnik |
SMO-Style Algorithms for Learning Using Privileged Information. ![Search on Bibsonomy](Pics/bibsonomy.png) |
DMIN ![In: Proceedings of The 2010 International Conference on Data Mining, DMIN 2010, July 12-15, 2010, Las Vegas, Nevada, USA, pp. 235-241, 2010, CSREA Press, 1-60132-138-4. The full citation details ...](Pics/full.jpeg) |
2010 |
DBLP BibTeX RDF |
|
22 | S. V. N. Vishwanathan, Zhaonan Sun, Nawanol Ampornpunt, Manik Varma |
Multiple Kernel Learning and the SMO Algorithm. ![Search on Bibsonomy](Pics/bibsonomy.png) |
NIPS ![In: Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, Vancouver, British Columbia, Canada., pp. 2361-2369, 2010, Curran Associates, Inc.. The full citation details ...](Pics/full.jpeg) |
2010 |
DBLP BibTeX RDF |
|
22 | Álvaro Barbero Jiménez, José R. Dorronsoro |
Faster Directions for Second Order SMO. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICANN (2) ![In: Artificial Neural Networks - ICANN 2010, 20th International Conference, Thessaloniki, Greece, September 15-18, 2010, Proceedings, Part II, pp. 30-39, 2010, Springer, 978-3-642-15821-6. The full citation details ...](Pics/full.jpeg) |
2010 |
DBLP DOI BibTeX RDF |
|
22 | Jorge López Lázaro, José R. Dorronsoro |
A Common Framework for the Convergence of the GSK, MDM and SMO Algorithms. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICANN (2) ![In: Artificial Neural Networks - ICANN 2010, 20th International Conference, Thessaloniki, Greece, September 15-18, 2010, Proceedings, Part II, pp. 82-87, 2010, Springer, 978-3-642-15821-6. The full citation details ...](Pics/full.jpeg) |
2010 |
DBLP DOI BibTeX RDF |
|
22 | Xiaofeng Song, Weimin Chen, Yi-Ping Phoebe Chen, Bin Jiang 0001 |
Candidate working set strategy based SMO algorithm in support vector machine. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Inf. Process. Manag. ![In: Inf. Process. Manag. 45(5), pp. 584-592, 2009. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
|
22 | Wei-Guo Zhang, Xili Zhang, Wei-Lin Xiao |
Portfolio selection under possibilistic mean-variance utility and a SMO algorithm. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Eur. J. Oper. Res. ![In: Eur. J. Oper. Res. 197(2), pp. 693-700, 2009. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
|
22 | Tobias Glasmachers, Christian Igel |
Second-Order SMO Improves SVM Online and Active Learning. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Neural Comput. ![In: Neural Comput. 20(2), pp. 374-382, 2008. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
|
22 | Tilman Knebel, Sepp Hochreiter, Klaus Obermayer |
An SMO Algorithm for the Potential Support Vector Machine. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Neural Comput. ![In: Neural Comput. 20(1), pp. 271-287, 2008. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
|
22 | Tobias Glasmachers |
On related violating pairs for working set selection in SMO algorithms. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ESANN ![In: 16th European Symposium on Artificial Neural Networks, ESANN 2008, Bruges, Belgium, April 23-25, 2008, Proceedings, pp. 475-480, 2008. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP BibTeX RDF |
|
22 | Zhendong Zhao, Lei Yuan, Yuxuan Wang, Forrest Sheng Bao, Shunyi Zhang Yanfei Sun |
A Novel Model of Working Set Selection for SMO Decomposition Methods ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/0706.0585, 2007. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP BibTeX RDF |
|
22 | Zhifeng Hao, Zhenhua He, Xiaowei Yang |
An Accelerated SMO-Type Online Learning Algorithm. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CIS ![In: Computational Intelligence and Security, International Conference, CIS 2007, Harbin, Heilongjiang, China, December 15-19, 2007, pp. 65-69, 2007, IEEE Computer Society, 0-7695-3072-9. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
|
22 | Pai-Hsuen Chen, Rong-En Fan, Chih-Jen Lin |
A study on SMO-type decomposition methods for support vector machines. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Neural Networks ![In: IEEE Trans. Neural Networks 17(4), pp. 893-908, 2006. The full citation details ...](Pics/full.jpeg) |
2006 |
DBLP DOI BibTeX RDF |
|
22 | N. Venkata Ramana, Narri Yadaiah |
SMO based Fuzzy Logic Controller for Multi-machine Power Systems. ![Search on Bibsonomy](Pics/bibsonomy.png) |
FUZZ-IEEE ![In: IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2006, Vancouver, BC, Canada, July 16-21, 2006, pp. 2362-2368, 2006, IEEE, 0-7803-9488-7. The full citation details ...](Pics/full.jpeg) |
2006 |
DBLP DOI BibTeX RDF |
|
22 | Xiang-Yan Zeng, Xue-wen Chen 0001 |
SMO-based pruning methods for sparse least squares support vector machines. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Neural Networks ![In: IEEE Trans. Neural Networks 16(6), pp. 1541-1546, 2005. The full citation details ...](Pics/full.jpeg) |
2005 |
DBLP DOI BibTeX RDF |
|
22 | Norikazu Takahashi, Tetsuo Nishi |
Rigorous proof of termination of SMO algorithm for support vector Machines. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Neural Networks ![In: IEEE Trans. Neural Networks 16(3), pp. 774-776, 2005. The full citation details ...](Pics/full.jpeg) |
2005 |
DBLP DOI BibTeX RDF |
|
22 | Kwong Shiao Yui, Tong Ming Lim |
An Object-Oriented Database Management System (OODBMS) with Simple Mobile Objects (SMO) Services. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CITA ![In: 4th International Conference on IT in Asia, CITA 2005, Kuching, Sarawak, Malaysia, 2005, pp. 286-293, 2005. The full citation details ...](Pics/full.jpeg) |
2005 |
DBLP BibTeX RDF |
|
22 | S. Sathiya Keerthi, Shirish K. Shevade |
SMO Algorithm for Least-Squares SVM Formulation. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Neural Comput. ![In: Neural Comput. 15(2), pp. 487-507, 2003. The full citation details ...](Pics/full.jpeg) |
2003 |
DBLP DOI BibTeX RDF |
|
22 | S. Sathiya Keerthi, Elmer G. Gilbert |
Convergence of a Generalized SMO Algorithm for SVM Classifier Design. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Mach. Learn. ![In: Mach. Learn. 46(1-3), pp. 351-360, 2002. The full citation details ...](Pics/full.jpeg) |
2002 |
DBLP DOI BibTeX RDF |
|
22 | Gary William Flake, Steve Lawrence |
Efficient SVM Regression Training with SMO. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Mach. Learn. ![In: Mach. Learn. 46(1-3), pp. 271-290, 2002. The full citation details ...](Pics/full.jpeg) |
2002 |
DBLP DOI BibTeX RDF |
|
22 | Chih-Jen Lin |
Asymptotic convergence of an SMO algorithm without any assumptions. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Neural Networks ![In: IEEE Trans. Neural Networks 13(1), pp. 248-250, 2002. The full citation details ...](Pics/full.jpeg) |
2002 |
DBLP DOI BibTeX RDF |
|
22 | Sam Liang, David R. Cheriton |
TCP-SMO: Extending TCP to Support Medium-Scale Multicast Applications. ![Search on Bibsonomy](Pics/bibsonomy.png) |
INFOCOM ![In: Proceedings IEEE INFOCOM 2002, The 21st Annual Joint Conference of the IEEE Computer and Communications Societies, New York, USA, June 23-27, 2002, pp. 1356-1365, 2002, IEEE Computer Society, 0-7803-7477-0. The full citation details ...](Pics/full.jpeg) |
2002 |
DBLP DOI BibTeX RDF |
|
22 | Fabio Aiolli, Alessandro Sperduti |
An efficient SMO-like algorithm for multiclass SVM. ![Search on Bibsonomy](Pics/bibsonomy.png) |
NNSP ![In: Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing, NNSP 2002, Martigny, Valais, Switzerland, September 4-6, 2002., pp. 297-306, 2002, IEEE. The full citation details ...](Pics/full.jpeg) |
2002 |
DBLP DOI BibTeX RDF |
|
22 | S. Sathiya Keerthi, Shirish K. Shevade, Chiranjib Bhattacharyya, K. R. K. Murthy |
Improvements to Platt's SMO Algorithm for SVM Classifier Design. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Neural Comput. ![In: Neural Comput. 13(3), pp. 637-649, 2001. The full citation details ...](Pics/full.jpeg) |
2001 |
DBLP DOI BibTeX RDF |
|
22 | Shirish K. Shevade, S. Sathiya Keerthi, Chiranjib Bhattacharyya, K. R. K. Murthy |
Improvements to the SMO algorithm for SVM regression. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Neural Networks Learn. Syst. ![In: IEEE Trans. Neural Networks Learn. Syst. 11(5), pp. 1188-1193, 2000. The full citation details ...](Pics/full.jpeg) |
2000 |
DBLP DOI BibTeX RDF |
|
15 | Ajay Kumar Tanwani, Muddassar Farooq |
The Role of Biomedical Dataset in Classification. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AIME ![In: Artificial Intelligence in Medicine, 12th Conference on Artificial Intelligence in Medicine, AIME 2009, Verona, Italy, July 18-22, 2009. Proceedings, pp. 370-374, 2009, 978-3-642-02975-2. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
Biomedical Datasets, Classification, Complexity Measures |
15 | Ajay Kumar Tanwani, M. Jamal Afridi, M. Zubair Shafiq, Muddassar Farooq |
Guidelines to Select Machine Learning Scheme for Classification of Biomedical Datasets. ![Search on Bibsonomy](Pics/bibsonomy.png) |
EvoBIO ![In: Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, 7th European Conference, EvoBIO 2009, Tübingen, Germany, April 15-17, 2009, Proceedings, pp. 128-139, 2009, Springer, 978-3-642-01183-2. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
Biomedical Datasets, Machine Learning, Classification |
15 | Rui Almeida, Luís Paulo Reis, Alípio Mário Jorge |
Analysis and Forecast of Team Formation in the Simulated Robotic Soccer Domain. ![Search on Bibsonomy](Pics/bibsonomy.png) |
EPIA ![In: Progress in Artificial Intelligence, 14th Portuguese Conference on Artificial Intelligence, EPIA 2009, Aveiro, Portugal, October 12-15, 2009. Proceedings, pp. 239-250, 2009, Springer, 978-3-642-04685-8. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
Formation Detection, Simulated Robotic Soccer, Data Mining, Classification, Sequential Minimal Optimization, Weka |
15 | François Bertrand Akoa |
Combining DC Algorithms (DCAs) and Decomposition Techniques for the Training of Nonpositive-Semidefinite Kernels. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Neural Networks ![In: IEEE Trans. Neural Networks 19(11), pp. 1854-1872, 2008. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
|
15 | Shan-Hung Wu, Keng-Pei Lin, Chung-Min Chen, Ming-Syan Chen |
Asymmetric support vector machines: low false-positive learning under the user tolerance. ![Search on Bibsonomy](Pics/bibsonomy.png) |
KDD ![In: Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Las Vegas, Nevada, USA, August 24-27, 2008, pp. 749-757, 2008, ACM, 978-1-60558-193-4. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
low false-positive learning, support vectormachine (svm), classification |
15 | Krzysztof Cetnarowicz, Robert Schaefer, Bojin Zheng, Maciej Paszynski, Bartlomiej Sniezynski |
Intelligent Agents and Evolvable Systems. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICCS (3) ![In: Computational Science - ICCS 2008, 8th International Conference, Kraków, Poland, June 23-25, 2008, Proceedings, Part III, pp. 533-534, 2008, Springer, 978-3-540-69388-8. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
|
15 | Salvatore Casale, Alessandra Russo, G. Scebba, Salvatore Serrano |
Speech Emotion Classification Using Machine Learning Algorithms. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICSC ![In: Proceedings of the 2th IEEE International Conference on Semantic Computing (ICSC 2008), August 4-7, 2008, Santa Clara, California, USA, pp. 158-165, 2008, IEEE Computer Society, 978-0-7695-3279-0. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
emo-db, susas, ETSI ES 202-211 standard, machine learning, speech analysis, emotion classification |
15 | 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 |
|
15 | Xue-Qiang Zeng, Ming-Wen Wang, Jian-Yun Nie |
Text classification based on partial least square analysis. ![Search on Bibsonomy](Pics/bibsonomy.png) |
SAC ![In: Proceedings of the 2007 ACM Symposium on Applied Computing (SAC), Seoul, Korea, March 11-15, 2007, pp. 834-838, 2007, ACM, 1-59593-480-4. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
feature extraction, text classification, dimensionality reduction, text indexing, partial least square |
15 | Alireza Tavakkoli, Amol Ambardekar, Mircea Nicolescu, Sushil J. Louis |
A Genetic Approach to Training Support Vector Data Descriptors for Background Modeling in Video Data. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ISVC (2) ![In: Advances in Visual Computing, Third International Symposium, ISVC 2007, Lake Tahoe, NV, USA, November 26-28, 2007, Proceedings, Part II, pp. 318-327, 2007, Springer, 978-3-540-76855-5. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
|
15 | Changyin Sun, Jinya Song |
An Adaptive Internal Model Control Based on LS-SVM. ![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. 479-485, 2007, Springer, 978-3-540-72394-3. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
|
15 | Albert Orriols-Puig, Jorge Casillas, Ester Bernadó-Mansilla |
Fuzzy-UCS: preliminary results. ![Search on Bibsonomy](Pics/bibsonomy.png) |
GECCO (Companion) ![In: Genetic and Evolutionary Computation Conference, GECCO 2007, Proceedings, London, England, UK, July 7-11, 2007, Companion Material, pp. 2871-2874, 2007, ACM, 978-1-59593-698-1. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
genetic algorithms, machine learning, fuzzy logic, evolutionary computation, learning classifier systems |
15 | Albert Orriols-Puig, Jorge Casillas, Ester Bernadó-Mansilla |
Evolving Fuzzy Rules with UCS: Preliminary Results. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IWLCS ![In: Learning Classifier Systems, 10th International Workshop, IWLCS 2006, Seattle, MA, USA, July 8, 2006 and 11th International Workshop, IWLCS 2007, London, UK, July 8, 2007, Revised Selected Papers, pp. 57-76, 2007, Springer, 978-3-540-88137-7. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
|
15 | Jen-Yang Liu, Yu T. Su |
Detection of FHMA/MFSK signals based on SVM techniques. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IWCMC ![In: Proceedings of the International Conference on Wireless Communications and Mobile Computing, IWCMC 2006, Vancouver, British Columbia, Canada, July 3-6, 2006, pp. 1423-1428, 2006, ACM, 1-59593-306-9. The full citation details ...](Pics/full.jpeg) |
2006 |
DBLP DOI BibTeX RDF |
support vector machine (SVM) |
15 | Chaoqun Li 0001, Liangxiao Jiang |
Using Locally Weighted Learning to Improve SMOreg for Regression. ![Search on Bibsonomy](Pics/bibsonomy.png) |
PRICAI ![In: PRICAI 2006: Trends in Artificial Intelligence, 9th Pacific Rim International Conference on Artificial Intelligence, Guilin, China, August 7-11, 2006, Proceedings, pp. 375-384, 2006, Springer, 3-540-36667-9. The full citation details ...](Pics/full.jpeg) |
2006 |
DBLP DOI BibTeX RDF |
SMOreg, locally weighted SMOreg, locally weighted learning, SVM, regression |
15 | Tran Hong-Minh, Dan J. Smith |
Machine Learning Models: Combining Evidence of Similarity for XML Schema Matching. ![Search on Bibsonomy](Pics/bibsonomy.png) |
KDXD ![In: Knowledge Discovery from XML Documents, First International Workshop, KDXD 2006, Singapore, April 9, 2006, Proceedings, pp. 43-53, 2006, Springer, 3-540-33180-8. The full citation details ...](Pics/full.jpeg) |
2006 |
DBLP DOI BibTeX RDF |
|
15 | Chaoyang Zhang, Peng Li, Arun Rajendran, Youping Deng |
Parallel Multicategory Support Vector Machines (PMC-SVM) for Classifying Microcarray Data. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IMSCCS (1) ![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. 1, pp. 110-115, 2006, IEEE Computer Society, 0-7695-2581-4. The full citation details ...](Pics/full.jpeg) |
2006 |
DBLP DOI BibTeX RDF |
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15 | Patrick Haffner |
Fast transpose methods for kernel learning on sparse data. ![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. 385-392, 2006, ACM, 1-59593-383-2. The full citation details ...](Pics/full.jpeg) |
2006 |
DBLP DOI BibTeX RDF |
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15 | Gang Wu 0005, Edward Y. Chang, Navneet Panda |
Formulating context-dependent similarity functions. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ACM Multimedia ![In: Proceedings of the 13th ACM International Conference on Multimedia, Singapore, November 6-11, 2005, pp. 725-734, 2005, ACM, 1-59593-044-2. The full citation details ...](Pics/full.jpeg) |
2005 |
DBLP DOI BibTeX RDF |
function learning, kernel machines |
15 | Xiao-Lei Xia, Michael R. Lyu, Tat-Ming Lok, Guang-Bin Huang |
Methods of Decreasing the Number of Support Vectors via k-Mean Clustering. ![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. 717-726, 2005, Springer, 3-540-28226-2. The full citation details ...](Pics/full.jpeg) |
2005 |
DBLP DOI BibTeX RDF |
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15 | Wei Chu, S. Sathiya Keerthi |
New approaches to support vector ordinal regression. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICML ![In: Machine Learning, Proceedings of the Twenty-Second International Conference (ICML 2005), Bonn, Germany, August 7-11, 2005, pp. 145-152, 2005, ACM, 1-59593-180-5. The full citation details ...](Pics/full.jpeg) |
2005 |
DBLP DOI BibTeX RDF |
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15 | Sören Sonnenburg, Gunnar Rätsch, Bernhard Schölkopf |
Large scale genomic sequence SVM classifiers. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICML ![In: Machine Learning, Proceedings of the Twenty-Second International Conference (ICML 2005), Bonn, Germany, August 7-11, 2005, pp. 848-855, 2005, ACM, 1-59593-180-5. The full citation details ...](Pics/full.jpeg) |
2005 |
DBLP DOI BibTeX RDF |
|
15 | Maciej Kusy |
Application of SVM to Ovarian Cancer Classification Problem. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICAISC ![In: Artificial Intelligence and Soft Computing - ICAISC 2004, 7th International Conference, Zakopane, Poland, June 7-11, 2004, Proceedings, pp. 1020-1025, 2004, Springer, 3-540-22123-9. The full citation details ...](Pics/full.jpeg) |
2004 |
DBLP DOI BibTeX RDF |
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15 | Luigina D'Amato, José Alí Moreno, Rosa Mujica |
Reducing the Complexity of Kernel Machines with Neural Growing Gas in Feature Space. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IBERAMIA ![In: Advances in Artificial Intelligence - IBERAMIA 2004, 9th Ibero-American Conference on AI, Puebla, Mexico, November 22-26, 2004, Proceedings, pp. 799-808, 2004, Springer, 3-540-23806-9. The full citation details ...](Pics/full.jpeg) |
2004 |
DBLP DOI BibTeX RDF |
Neural Networks, Learning Machines |
15 | Jian-xiong Dong, Adam Krzyzak, Ching Y. Suen |
A Fast Parallel Optimization for Training Support Vector Machine. ![Search on Bibsonomy](Pics/bibsonomy.png) |
MLDM ![In: Machine Learning and Data Mining in Pattern Recognition, Third International Conference, MLDM 2003, Leipzig, Germany, July 5-7, 2003, Proceedings, pp. 96-105, 2003, Springer, 3-540-40504-6. The full citation details ...](Pics/full.jpeg) |
2003 |
DBLP DOI BibTeX RDF |
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15 | Jian-xiong Dong, Adam Krzyzak, Ching Y. Suen |
A Fast SVM Training Algorithm. ![Search on Bibsonomy](Pics/bibsonomy.png) |
SVM ![In: Pattern Recognition with Support Vector Machines, First International Workshop, SVM 2002, Niagara Falls, Canada, August 10, 2002, Proceedings, pp. 53-67, 2002, Springer, 3-540-44016-X. The full citation details ...](Pics/full.jpeg) |
2002 |
DBLP DOI BibTeX RDF |
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15 | Liva Ralaivola, Florence d'Alché-Buc |
Incremental Support Vector Machine Learning: A Local Approach. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICANN ![In: Artificial Neural Networks - ICANN 2001, International Conference Vienna, Austria, August 21-25, 2001 Proceedings, pp. 322-330, 2001, Springer, 3-540-42486-5. The full citation details ...](Pics/full.jpeg) |
2001 |
DBLP DOI BibTeX RDF |
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15 | Weiqiang Liu 0010, Peihua Shen, Yingge Qu, De-Shen Xia |
Fast Algorithm of Support Vector Machines in Lung Cancer Diagnosis. ![Search on Bibsonomy](Pics/bibsonomy.png) |
MIAR ![In: Medical Imaging and Augmented Reality: First International Workshop, MIAR 2001, Hong Kong, China, June 10-12, 2001. Proceedings, pp. 188-192, 2001, IEEE Computer Society, 0-7695-1113-9. The full citation details ...](Pics/full.jpeg) |
2001 |
DBLP DOI BibTeX RDF |
Lung Cancer Diagnosis, Support Vector Machines, Game Theory, Sequential Minimal Optimization |
15 | David L. Harris, Mark Horowitz, Dean Liu |
Timing analysis including clock skew. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. ![In: IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 18(11), pp. 1608-1618, 1999. The full citation details ...](Pics/full.jpeg) |
1999 |
DBLP DOI BibTeX RDF |
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