Search results for "SVMs"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
92	Yimin Wen, Bao-Liang Lu	A Confident Majority Voting Strategy for Parallel and Modular Support Vector Machines.	ISNN (3)	2007	DBLP DOI BibTeX RDF
77	Gexiang Zhang, Zhexin Cao, Yajun Gu	A Hybrid Classifier Based on Rough Set Theory and Support Vector Machines.	FSKD (1)	2005	DBLP DOI BibTeX RDF
75	Yukun Bao, Yansheng Lu, Jinlong Zhang	Forecasting Stock Price by SVMs Regression.	AIMSA	2004	DBLP DOI BibTeX RDF	Stock price forecasts, SVMs regression, Machine learning
61	Liefeng Bo, Ling Wang 0003, Licheng Jiao	Training Hard-Margin Support Vector Machines Using Greedy Stagewise Algorithm.	IEEE Trans. Neural Networks	2008	DBLP DOI BibTeX RDF
61	Enrique Romero, Daniel Toppo	Comparing Support Vector Machines and Feed-forward Neural Networks with Similar Parameters.	IDEAL	2006	DBLP DOI BibTeX RDF
60	Hongbing Liu, Shengwu Xiong, Qiong Chen	Extraction of the Reduced Training Set Based on Rough Set in SVMs.	ISNN (2)	2009	DBLP DOI BibTeX RDF	Reduced training set, SVMs, Rough set, Boundary
60	Long Zhang, Guoliang Xiong, Hesheng Liu, Huijun Zou, Weizhong Guo	An Intelligent Fault Diagnosis Method Based on Multiscale Entropy and SVMs.	ISNN (3)	2009	DBLP DOI BibTeX RDF	Sample entropy, Multiscale entropy, SVMs, Fault diagnosis
54	Yutao Han, Xiaojun Qi	A complementary SVMs-based image annotation system.	ICIP (1)	2005	DBLP DOI BibTeX RDF
54	Zhi-Gang Fan, Bao-Liang Lu	Multi-view Face Recognition with Min-Max Modular SVMs.	ICNC (2)	2005	DBLP DOI BibTeX RDF
54	Yongmei Tan, Tianshun Yao, Qing Chen, Jingbo Zhu	Chinese Chunk Identification Using SVMs Plus Sigmoid.	IJCNLP	2004	DBLP DOI BibTeX RDF
54	Kun Zhao, Yingjie Tian 0001, Naiyang Deng	Robust Unsupervised and Semi-supervised Bounded v - Support Vector Machines.	ISNN (2)	2009	DBLP DOI BibTeX RDF	Bounded ?? support vector machines, Robust, Semi-supervised learning, Unsupervised learning, Semi-definite programming
54	Enrique Romero, Daniel Toppo	Comparing Support Vector Machines and Feedforward Neural Networks With Similar Hidden-Layer Weights.	IEEE Trans. Neural Networks	2007	DBLP DOI BibTeX RDF
54	Shantanu Godbole, Sunita Sarawagi, Soumen Chakrabarti	Scaling multi-class support vector machines using inter-class confusion.	KDD	2002	DBLP DOI BibTeX RDF
54	Eddy Mayoraz, Ethem Alpaydin	Support Vector Machines for Multi-class Classification.	IWANN (2)	1999	DBLP DOI BibTeX RDF
52	Jun Yang 0003, Rong Yan, Alexander G. Hauptmann	Cross-domain video concept detection using adaptive svms.	ACM Multimedia	2007	DBLP DOI BibTeX RDF	adaptive SVMs, classifier adaptation, cross-domain video concept detection
52	Pei-Yi Hao, Jung-Hsien Chiang, Yen-Hsiu Lin	A new maximal-margin spherical-structured multi-class support vector machine.	Appl. Intell.	2009	DBLP DOI BibTeX RDF	Spherical classifier, Maximal-margin classifier, Support vector machines (SVMs), Quadratic programming, Multi-class classification
47	Pilsung Kang 0001, Sungzoon Cho	EUS SVMs: Ensemble of Under-Sampled SVMs for Data Imbalance Problems.	ICONIP (1)	2006	DBLP DOI BibTeX RDF
46	Yukun Bao, Zhitao Liu, Rui Zhang, Wei Huang 0006	Multiple SVMs Enabled Sales Forecasting Support System.	PRICAI	2006	DBLP DOI BibTeX RDF
46	Hassiba Nemmour, Youcef Chibani	Multi-Class SVMs Based on Fuzzy Integral Mixture for Handwritten Digit Recognition.	GMAI	2006	DBLP DOI BibTeX RDF
46	Guo-Zheng Li 0001, Tian-Yu Liu, Victor S. Cheng	Classification of Brain Glioma by Using SVMs Bagging with Feature Selection.	BioDM	2006	DBLP DOI BibTeX RDF
46	Zeki Erdem, Robi Polikar, Fikret S. Gürgen, Nejat Yumusak	Ensemble of SVMs for Incremental Learning.	Multiple Classifier Systems	2005	DBLP DOI BibTeX RDF
46	Xiangrong Zhang, Shuang Wang 0001, Tan Shan, Licheng Jiao	Selective SVMs Ensemble Driven by Immune Clonal Algorithm.	EvoWorkshops	2005	DBLP DOI BibTeX RDF
46	Peng Wang 0005, Qiang Ji	Multi-View Face Detection under Complex Scene based on Combined SVMs.	ICPR (4)	2004	DBLP DOI BibTeX RDF
46	Mamoun Awad, Latifur Khan, Farokh B. Bastani, I-Ling Yen	An Effective Support Vector Machines (SVMs) Performance Using Hierarchical Clustering.	ICTAI	2004	DBLP DOI BibTeX RDF
46	Weiwei Wang	Time Series Prediction Based on Support Vector Machines Experts and Genetic Algorithm.	FSKD (4)	2007	DBLP DOI BibTeX RDF
46	Bernardo Penna Resende de Carvalho, Wilian Soares Lacerda, Antônio de Pádua Braga	A Hybrid Approach for Sparse Least Squares Support Vector Machines.	HIS	2005	DBLP DOI BibTeX RDF
46	Liefeng Bo, Ling Wang 0003, Licheng Jiao	Training Support Vector Machines Using Greedy Stagewise Algorithm.	PAKDD	2005	DBLP DOI BibTeX RDF
46	Xiujuan Chen, Robert W. Harrison, Yanqing Zhang 0001	Fuzzy support vector machines for biomedical data analysis.	GrC	2005	DBLP DOI BibTeX RDF
46	Hongjian Fan, Kotagiri Ramamohanarao	A weighting scheme based on emerging patterns for weighted support vector machines.	GrC	2005	DBLP DOI BibTeX RDF
46	Tao Wu 0001, Hanqing Zhao	Constructing Support Vector Classifiers with Unlabeled Data.	ISNN (1)	2004	DBLP DOI BibTeX RDF
44	Kaushik Roy 0002, Prabir Bhattacharya	Level Set Approaches and Adaptive Asymmetrical SVMs Applied for Nonideal Iris Recognition.	ICIAR	2009	DBLP DOI BibTeX RDF	level set based curve evolution, adaptive asymmetrical SVMs, recursive feature elimination, Daubechies wavelets transform, Iris recognition, Mumford-Shah functional
39	Bo Liu 0002, Longbing Cao, Philip S. Yu, Chengqi Zhang	Multi-Space-Mapped SVMs for Multi-class Classification.	ICDM	2008	DBLP DOI BibTeX RDF
39	Thomas Deselaers, Georg Heigold, Hermann Ney	SVMs, Gaussian mixtures, and their generative/discriminative fusion.	ICPR	2008	DBLP DOI BibTeX RDF
39	Xiangrong Zhang, Licheng Jiao, Shuiping Gou	SVMs ensemble for radar target recognition based on evolutionary feature selection.	IEEE Congress on Evolutionary Computation	2007	DBLP DOI BibTeX RDF
39	Rezaul Karim, Martin Bergtholdt, Jörg H. Kappes, Christoph Schnörr	Greedy-Based Design of Sparse Two-Stage SVMs for Fast Classification.	DAGM-Symposium	2007	DBLP DOI BibTeX RDF
39	D. Sculley, Gabriel Wachman	Relaxed online SVMs for spam filtering.	SIGIR	2007	DBLP DOI BibTeX RDF	splogs, support vector machines, blogs, spam filtering
39	Jin-Hyuk Hong, Sung-Bae Cho	Dynamically Subsumed-OVA SVMs for Fingerprint Classification.	PRICAI	2006	DBLP DOI BibTeX RDF
39	Darío Martín-Iglesias, J. Bernal-Chaves, Carmen Peláez-Moreno, Ascensión Gallardo-Antolín, Fernando Díaz-de-María	A Speech Recognizer Based on Multiclass SVMs with HMM-Guided Segmentation.	NOLISP	2005	DBLP DOI BibTeX RDF
39	Xiaoyan Tao, Hongbing Ji	Multi-class SVMs Based on SOM Decoding Algorithm and Its Application in Pattern Recognition.	CIS (1)	2005	DBLP DOI BibTeX RDF
39	Haifeng Li 0012, Tao Jiang 0001	A class of edit kernels for SVMs to predict translation initiation sites in eukaryotic mRNAs.	RECOMB	2004	DBLP DOI BibTeX RDF	mRNA, positive definite kernel, machine learning, support vector machine, edit distance, translation initiation site
39	Ronan Collobert, Samy Bengio	Links between perceptrons, MLPs and SVMs.	ICML	2004	DBLP DOI BibTeX RDF
39	Hwanjo Yu, Jiong Yang 0001, Jiawei Han 0001	Classifying large data sets using SVMs with hierarchical clusters.	KDD	2003	DBLP DOI BibTeX RDF	support vector machines, hierarchical cluster
39	Hirotaka Nakayama, Atsushi Hattori	Incremental Learning and Forgetting in RBF Networks and SVMs with Applications to Financial Problems.	KES	2003	DBLP DOI BibTeX RDF
39	Chang-Hun Lee, Sung-Wook Park, Weide Chang, Jong-Wook Park	Improving the Performance of Multi-Class SVMs in Face Recognition with Nearest Neighbor Rule.	ICTAI	2003	DBLP DOI BibTeX RDF
39	Yann Guermeur	Combining Discriminant Models with New Multi-Class SVMs.	Pattern Anal. Appl.	2002	DBLP DOI BibTeX RDF	Generalisation performance, Hierarchical sequence processing systems, Support Vector Machines, Classifier fusion, Statistical learning theory, Protein secondary structure prediction
38	Jieyue He, Hae-Jin Hu, Bernard Chen 0001, Phang C. Tai, Robert W. Harrison, Yi Pan 0001	Rule Extraction from SVM for Protein Structure Prediction.	Rule Extraction from Support Vector Machines	2008	DBLP DOI BibTeX RDF
38	Jian-Sheng Qian, Jian Cheng 0004, Yi-Nan Guo 0001	A Novel Multiple Support Vector Machines Architecture for Chaotic Time Series Prediction.	ICNC (1)	2006	DBLP DOI BibTeX RDF
38	Tie-Yan Liu, Yiming Yang, Hao Wan 0003, Hua-Jun Zeng, Zheng Chen 0001, Wei-Ying Ma	Support vector machines classification with a very large-scale taxonomy.	SIGKDD Explor.	2005	DBLP DOI BibTeX RDF	performance and scalability analysis, threshold tuning strategies and algorithm complexity, very large web taxonomies, text categorization, empirical validation, technology assessment
38	Kazuko Takahashi, Hiroya Takamura, Manabu Okumura	Automatic Occupation Coding with Combination of Machine Learning and Hand-Crafted Rules.	PAKDD	2005	DBLP DOI BibTeX RDF
38	Yutao Han, Xiaojun Qi	Machine-Learning-Based Image Categorization.	ICIAR	2005	DBLP DOI BibTeX RDF
38	Pawan Lingras, Cory J. Butz	Interval set representations of 1-v-r support vector machine multi-classifiers.	GrC	2005	DBLP DOI BibTeX RDF
38	Douglas Clarke, David W. Albrecht, Peter E. Tischer	An Investigation into Applying Support Vector Machines to Pixel Classification in Image Processing.	Australian Conference on Artificial Intelligence	2004	DBLP DOI BibTeX RDF
38	Kwang In Kim, Keechul Jung, Se Hyun Park, Hang Joon Kim	Support Vector Machines for Texture Classification.	IEEE Trans. Pattern Anal. Mach. Intell.	2002	DBLP DOI BibTeX RDF	machine learning, Support vector machines, feature extraction, pattern classification, texture analysis
38	Lijuan Cao, Francis Eng Hock Tay	Financial Forecasting Using Support Vector Machines.	Neural Comput. Appl.	2001	DBLP DOI BibTeX RDF	Multi-layer perception, Support vector machines, Generalisation, Back propagation algorithm, Financial time series forecasting
38	Jean-Christophe Terrillon, Mahdad Nouri Shirazi, Daniel McReynolds, Mohamed Sadek, Yunlong Sheng, Shigeru Akamatsu, Kazuhiko Yamamoto	Invariant Face Detection in Color Images Using Orthogonal Fourier-Mellin Moments and Support Vector Machines.	ICAPR	2001	DBLP DOI BibTeX RDF	Automatic face detection, Skin color-based image segmentation, Support vector machines, Multilayer perceptron, Invariant moments
38	Jean-Christophe Terrillon, Mahdad Nouri Shirazi, Mohamed Sadek, Hideo Fukamachi, Shigeru Akamatsu	Invariant Face Detection with Support Vector Machines.	ICPR	2000	DBLP DOI BibTeX RDF
38	Ming-Hsuan Yang 0001, Baback Moghaddam	Support Vector Machines for Visual Gender Classification.	ICPR	2000	DBLP DOI BibTeX RDF
38	Jae-Jin Kim, Bon-Woo Hwang, Seong-Whan Lee	Retrieval of the Top N Matches with Support Vector Machines.	ICPR	2000	DBLP DOI BibTeX RDF
38	Ying Tan, Youshen Xia, Jun Wang 0002	Neural Network Realization of Support Vector Methods for Pattern Classification.	IJCNN (6)	2000	DBLP DOI BibTeX RDF
37	Gunnar Rätsch, Sebastian Mika, Bernhard Schölkopf, Klaus-Robert Müller	Constructing Boosting Algorithms from SVMs: An Application to One-Class Classification.	IEEE Trans. Pattern Anal. Mach. Intell.	2002	DBLP DOI BibTeX RDF	SVMs, unsupervised learning, Boosting, novelty detection, one-class classification
36	Xiaoxing Yang, Ke Tang 0001, Xin Yao 0001	The Minimum Redundancy - Maximum Relevance Approach to Building Sparse Support Vector Machines.	IDEAL	2009	DBLP DOI BibTeX RDF	Sparse design, Machine learning, SVMs, Redundancy, Relevance
36	Georgios Th. Papadopoulos, P. Panagi, Stamatia Dasiopoulou	A learning approach to semantic image analysis.	MobiMedia	2006	DBLP DOI BibTeX RDF	fuzzy directional relations, genetic algorithms (GAs), semantic image analysis, ontologies, support vector machines (SVMs), object recognition
31	Hannes Köhler, Andreas Christmann	Total Stability of SVMs and Localized SVMs.	J. Mach. Learn. Res.	2022	DBLP BibTeX RDF
31	Hannes Köhler, Andreas Christmann	Total Stability of SVMs and Localized SVMs.	CoRR	2021	DBLP BibTeX RDF
31	Christian Moewes, Rudolf Kruse	On the usefulness of fuzzy SVMs and the extraction of fuzzy rules from SVMs.	EUSFLAT Conf.	2011	DBLP DOI BibTeX RDF
31	Xin Huang 0002, Liangpei Zhang 0001	Comparison of Vector Stacking, Multi-SVMs Fuzzy Output, and Multi-SVMs Voting Methods for Multiscale VHR Urban Mapping.	IEEE Geosci. Remote. Sens. Lett.	2010	DBLP DOI BibTeX RDF
31	Jorge López Lázaro, José R. Dorronsoro	Least 1-Norm SVMs: a new SVM variant between standard and LS-SVMs.	ESANN	2010	DBLP BibTeX RDF
31	Vikas K. Garg, M. Narasimha Murty	Feature subspace SVMs (FS-SVMs) for high dimensional handwritten digit recognition.	Int. J. Data Min. Model. Manag.	2009	DBLP DOI BibTeX RDF
31	Ricardo Ñanculef, Carlos Concha, Héctor Allende, Diego Candel, Claudio Moraga	AD-SVMs: A light extension of SVMs for multicategory classification.	Int. J. Hybrid Intell. Syst.	2009	DBLP DOI BibTeX RDF
31	Thorsten Joachims, Chun-Nam John Yu	Sparse Kernel SVMs via Cutting-Plane Training.	ECML/PKDD (1)	2009	DBLP DOI BibTeX RDF
31	Li Zhang, Xiangru Meng, Hua Zhou	Network Fault Diagnosis Using Hierarchical SVMs Based on Kernel Method.	WKDD	2009	DBLP DOI BibTeX RDF
31	Kun Yang, Jingwei Ye, Zhijun Li, Yu Qiao 0001	Free hand sketch understanding using SVMs-chain modeling for spatial and temporal patterns.	GEC Summit	2009	DBLP DOI BibTeX RDF	support vector machine, sketch recognition
31	Asma Rabaoui, Manuel Davy, Stéphane Rossignol, Zied Ellouze	Using One-Class SVMs and Wavelets for Audio Surveillance.	IEEE Trans. Inf. Forensics Secur.	2008	DBLP DOI BibTeX RDF
31	Bo Liu 0002, Zhifeng Hao, Eric C. C. Tsang	Nesting One-Against-One Algorithm Based on SVMs for Pattern Classification.	IEEE Trans. Neural Networks	2008	DBLP DOI BibTeX RDF
31	Thomas Finley, Thorsten Joachims	Training structural SVMs when exact inference is intractable.	ICML	2008	DBLP DOI BibTeX RDF
31	Zhouyu Fu, Antonio Robles-Kelly	On Mixtures of Linear SVMs for Nonlinear Classification.	SSPR/SPR	2008	DBLP DOI BibTeX RDF
31	Qiang Wu, Chuanying Jia, Wenying Chen, Xiaoshuai Ding	Machinery Fault Diagnosis Based on Improved Algorithm of Support Vector Domain Description and SVMs.	RAM	2008	DBLP DOI BibTeX RDF
31	Mani Arun Kumar, Madan Gopal	Binary Classification by SVM based neural Trees and Nonlinear SVMs.	ITNG	2007	DBLP DOI BibTeX RDF
31	Lei Wang, Huading Jia, Shixin Sun	A Fast and Accurate Progressive Algorithm for Training Transductive SVMs.	ISNN (3)	2007	DBLP DOI BibTeX RDF
31	Xin Xu 0001, Rob Law 0001, Tao Wu 0001	Classification of Business Travelers Using SVMs Combined with Kernel Principal Component Analysis.	ADMA	2007	DBLP DOI BibTeX RDF
31	Thorsten Joachims	Training linear SVMs in linear time.	KDD	2006	DBLP DOI BibTeX RDF	ROC-area, support vector machines (SVM), training algorithms, ordinal regression, large-scale problems
31		Recognition of Emotion with SVMs.	ICIC (2)	2006	DBLP DOI BibTeX RDF
31	Jia-Ching Wang, Jhing-Fa Wang, Wai-He Kuok, Hsiao Ping Lee, Chung-Hsien Yang	Robust Speaker Recognition using SNR-Aware Subspace-Based Enhancement and Probabilistic SVMs.	ICME	2006	DBLP DOI BibTeX RDF
31	Hwanjo Yu, Jiong Yang 0001, Jiawei Han 0001, Xiaolei Li 0001	Making SVMs Scalable to Large Data Sets using Hierarchical Cluster Indexing.	Data Min. Knowl. Discov.	2005	DBLP DOI BibTeX RDF
31	Christopher A. Waring, Xiuwen Liu	Face detection using spectral histograms and SVMs.	IEEE Trans. Syst. Man Cybern. Part B	2005	DBLP DOI BibTeX RDF
31	Kingshy Goh, Edward Y. Chang, Beitao Li	Using One-Class and Two-Class SVMs for Multiclass Image Annotation.	IEEE Trans. Knowl. Data Eng.	2005	DBLP DOI BibTeX RDF	models, Pattern recognition, learning, artificial intelligence, statistical
31	Zeki Erdem, Robi Polikar, Nejat Yumusak, Fikret S. Gürgen	Classification of Volatile Organic Compounds with Incremental SVMs and RBF Networks.	ISCIS	2005	DBLP DOI BibTeX RDF
31	Xin Xu, Bofeng Zhang, Qiuxi Zhong	Text Categorization Using SVMs with Rocchio Ensemble for Internet Information Classification.	ICCNMC	2005	DBLP DOI BibTeX RDF
31	Zijian Deng, Bicheng Li, Jun Zhuang	Image Object Recognition by SVMs and Evidence Theory.	CIVR	2005	DBLP DOI BibTeX RDF
31	Rubén Solera-Ureña, Jaume Padrell-Sendra, Darío Martín-Iglesias, Ascensión Gallardo-Antolín, Carmen Peláez-Moreno, Fernando Díaz-de-María	SVMs for Automatic Speech Recognition: A Survey.	WNSP	2005	DBLP DOI BibTeX RDF
31	Bhavani Raskutti, Adam Kowalczyk	Extreme re-balancing for SVMs: a case study.	SIGKDD Explor.	2004	DBLP DOI BibTeX RDF
31	Uri Iurgel, Gerhard Rigoll	Spoken Document Classification with SVMs Using Linguistic Unit Weighting and Probabilistic Couplers.	ICPR (2)	2004	DBLP DOI BibTeX RDF
31	Tao Wu 0001, Hanqing Zhao	Classifying Unlabeled Data with SVMs.	WSC	2004	DBLP DOI BibTeX RDF
31	Huaqing Li 0002, Shaoyu Wang, Feihu Qi	Minimal Enclosing Sphere Estimation and Its Application to SVMs Model Selection.	ISNN (1)	2004	DBLP DOI BibTeX RDF
31	Jingrui He, Mingjing Li, Zhiwei Li 0006, HongJiang Zhang, Hanghang Tong, Changshui Zhang	Pseudo Relevance Feedback Based on Iterative Probabilistic One-Class SVMs in Web Image Retrieval.	PCM (2)	2004	DBLP DOI BibTeX RDF
31	Julien Meynet, Vlad Popovici, Jean-Philippe Thiran	Face Class Modeling Using Mixture of SVMs.	ICIAR (2)	2004	DBLP DOI BibTeX RDF
31	Julien Meynet, Vlad Popovici, Jean-Philippe Thiran	Mixture of SVMs for Face Class Modeling.	MLMI	2004	DBLP DOI BibTeX RDF
31	Giorgio Valentini	An Application of Low Bias Bagged SVMs to the Classification of Heterogeneous Malignant Tissues.	WIRN	2003	DBLP DOI BibTeX RDF
31	Gyemin Lee, Clayton Scott	Nested support vector machines.	ICASSP	2008	DBLP DOI BibTeX RDF
31	Duc Dung Nguyen, Kazunori Matsumoto, Kazuo Hashimoto, Yasuhiro Takishima, Daichi Takatori, Masahiro Terabe	Multi-class Support Vector Machine Simplification.	PRICAI	2008	DBLP DOI BibTeX RDF	reduced set method, support vector machines, kernel-based methods