Search results for "Sequential Minimal Optimization"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
3	Jing Yang, Xue Yang, Jianpei Zhang	A Parallel Multi-Class Classification Support Vector Machine Based on Sequential Minimal Optimization.	IMSCCS	2006	DBLP DOI BibTeX RDF	Support Vector Machine, Parallel, Decision Tree, Multi-Class Classification, Sequential Minimal Optimization
2	Rui Almeida, Luís Paulo Reis, Alípio Mário Jorge	Analysis and Forecast of Team Formation in the Simulated Robotic Soccer Domain.	EPIA	2009	DBLP DOI BibTeX RDF	Formation Detection, Simulated Robotic Soccer, Data Mining, Classification, Sequential Minimal Optimization, Weka
2	Zhendong Zhao, Lei Yuan, Yuxuan Wang, Forrest Sheng Bao, Shun-Yi Zhang, Yan-Fei Sun	A Novel Model of Working Set Selection for SMO Decomposition Methods.	ICTAI	2007	DBLP DOI BibTeX RDF	decomposition meth- ods, working set selection, support vector machines, sequential minimal optimization
2	L. J. Cao, S. Sathiya Keerthi, Chong Jin Ong, J. Q. Zhang, U. Periyathamby, Xiu Ju Fu, H. P. Lee	Parallel sequential minimal optimization for the training of support vector machines.	IEEE Transactions on Neural Networks	2006	DBLP DOI BibTeX RDF
2	Jun Guo, Norikazu Takahashi, Tetsuo Nishi	A Novel Sequential Minimal Optimization Algorithm for Support Vector Regression.	ICONIP	2006	DBLP DOI BibTeX RDF
2	Jun Guo, Norikazu Takahashi, Tetsuo Nishi	Convergence Proof of a Sequential Minimal Optimization Algorithm for Support Vector Regression.	IJCNN	2006	DBLP DOI BibTeX RDF
2	Jingmin Wang, Kanzhang Wu	Study of the SMO Algorithm Applied in Power System Load Forecasting.	PRICAI	2006	DBLP DOI BibTeX RDF	kennel function, Support vector machine, load forecasting, Sequential minimal optimization
2	Shawn Martin	Training Support Vector Machines Using Gilbert's Algorithm.	ICDM	2005	DBLP DOI BibTeX RDF	Gilbert’s Algorithm, Nearest Point Algorithm, Support Vector Machines, Sequential Minimal Optimization
2	Weiqiang Liu, Peihua Shen, Yingge Qu, De-Shen Xia	Fast Algorithm of Support Vector Machines in Lung Cancer Diagnosis.	MIAR	2001	DBLP DOI BibTeX RDF	Lung Cancer Diagnosis, Support Vector Machines, Game Theory, Sequential Minimal Optimization
1	Rikiya Takahashi	Sequential minimal optimization in convex clustering repetitions.	Statistical Analysis and Data Mining	2012	DBLP DOI BibTeX RDF
1	Ta-Wen Kuan, Jhing-Fa Wang, Jia-Ching Wang, Po-Chuan Lin, Gaung-Hui Gu	VLSI Design of an SVM Learning Core on Sequential Minimal Optimization Algorithm.	IEEE Trans. VLSI Syst.	2012	DBLP DOI BibTeX RDF
1	Yih-Lon Lin, Jer-Guang Hsieh, Hsu-Kun Wu, Jyh-Horng Jeng	Three-parameter sequential minimal optimization for support vector machines.	Neurocomputing	2011	DBLP DOI BibTeX RDF
1	Rikiya Takahashi	Sequential Minimal Optimization in Adaptive-Bandwidth Convex Clustering.	SDM	2011	DBLP BibTeX RDF
1	Xiaopeng Yang, Hu Guan, Feilong Tang, Ilsun You, Minyi Guo, Yao Shen	Improvements on Sequential Minimal Optimization Algorithm for Support Vector Machine Based on Semi-sparse Algorithm.	IMIS	2011	DBLP DOI BibTeX RDF
1	Hansheng Lei, Qian Long	Locate potential Support Vectors for faster Sequential Minimal Optimization.	ICNC	2011	DBLP DOI BibTeX RDF
1	Álvaro Barbero Jiménez, José R. Dorronsoro	Momentum Sequential Minimal Optimization: An accelerated method for Support Vector Machine training.	IJCNN	2011	DBLP DOI BibTeX RDF
1	Diego Candel, Ricardo Ñanculef, Carlos Concha, Héctor Allende	A Sequential Minimal Optimization Algorithm for the All-Distances Support Vector Machine.	CIARP	2010	DBLP DOI BibTeX RDF
1	Ta-Wen Kuan, Jhing-Fa Wang, Jia-Ching Wang, Gaung-Hui Gu	VLSI Design of Sequential Minimal Optimization Algorithm for SVM Learning.	ISCAS	2009	DBLP DOI BibTeX RDF
1	Bryan C. Catanzaro, Narayanan Sundaram, Kurt Keutzer	Fast support vector machine training and classification on graphics processors.	ICML	2008	DBLP DOI BibTeX RDF
1	Shan-Hung Wu, Keng-Pei Lin, Chung-Min Chen, Ming-Syan Chen	Asymmetric support vector machines: low false-positive learning under the user tolerance.	KDD	2008	DBLP DOI BibTeX RDF	low false-positive learning, support vectormachine (svm), classification
1	Changki Lee, Hyunki Kim, Myung-Gil Jang	Fixed-threshold SMO for Joint Constraint Learning Algorithm of Structural SVM.	SIGIR	2008	DBLP DOI BibTeX RDF	fixed-threshold SMO, joint constraint learning algorithm, structural SVM
1	Bingjing Xu, Yu Deng, Jianyi Liu	Self-revise Hierarchical Classifier Based on SMO Algorithm for Chinese Question Classification.	ICNSC	2008	DBLP DOI BibTeX RDF
1	Salvatore Casale, Alessandra Russo, G. Scebba, Salvatore Serrano	Speech Emotion Classification Using Machine Learning Algorithms.	ICSC	2008	DBLP DOI BibTeX RDF	emo-db, susas, ETSI ES 202-211 standard, machine learning, speech analysis, emotion classification
1	François Bertrand Akoa	Combining DC Algorithms (DCAs) and Decomposition Techniques for the Training of Nonpositive-Semidefinite Kernels.	IEEE Transactions on Neural Networks	2008	DBLP DOI BibTeX RDF
1	Xun Liang, Rong-Chang Chen, Xinyu Guo	Pruning Support Vector Machines Without Altering Performances.	IEEE Transactions on Neural Networks	2008	DBLP DOI BibTeX RDF
1	Norikazu Takahashi, Jun Guo, Tetsuo Nishi	Global Convergence of SMO Algorithm for Support Vector Regression.	IEEE Transactions on Neural Networks	2008	DBLP DOI BibTeX RDF
1	Alexandra Balahur, Andrés Montoyo	Multilingual Feature-Driven Opinion Extraction and Summarization from Customer Reviews.	NLDB	2008	DBLP DOI BibTeX RDF
1	Arun Rajendran, Peng Li, Chaoyang Zhang, Youping Deng	Parallel Training of Multi-class Support Vector Machines Using Sequential Minimal Optimization.	MLMTA	2007	DBLP BibTeX RDF
1	Isabel Segura-Bedmar, Doaa Samy, José Luis Martínez-Fernández, Paloma Martínez	Detecting Semantic Relations Between Nominals Using Support Vector Machines and Linguistic-Based Rules.	OTM Workshops	2007	DBLP DOI BibTeX RDF	classification, Support Vector Machines, semantic relations, computational semantics, Sequential Minimal Optimization
1	Ankita Kumar, Cristian Sminchisescu	Support Kernel Machines for Object Recognition.	ICCV	2007	DBLP DOI BibTeX RDF
1	Christopher Sentelle, Michael Georgiopoulos, Georgios C. Anagnostopoulos, Cynthia Young	On Extending the SMO Algorithm Sub-Problem.	IJCNN	2007	DBLP DOI BibTeX RDF
1	Liefeng Bo, Licheng Jiao, Ling Wang	Working Set Selection Using Functional Gain for LS-SVM.	IEEE Transactions on Neural Networks	2007	DBLP DOI BibTeX RDF
1	Nikolas List	Generalized SMO-Style Decomposition Algorithms.	COLT	2007	DBLP DOI BibTeX RDF
1	Changyin Sun, Jinya Song, Guofang Lv, Hua Liang	Nonlinear Systems Modeling Using LS-SVM with SMO-Based Pruning Methods.	ISNN	2007	DBLP DOI BibTeX RDF
1	Alireza Tavakkoli, Amol Ambardekar, Mircea Nicolescu, Sushil J. Louis	A Genetic Approach to Training Support Vector Data Descriptors for Background Modeling in Video Data.	ISVC	2007	DBLP DOI BibTeX RDF
1	L. J. Cao, S. Sathiya Keerthi, Chong Jin Ong, P. Uvaraj, Xiu Ju Fu, H. P. Lee	Developing parallel sequential minimal optimization for fast training support vector machine.	Neurocomputing	2006	DBLP DOI BibTeX RDF
1	Darrin P. Lewis, Tony Jebara, William Stafford Noble	Nonstationary kernel combination.	ICML	2006	DBLP DOI BibTeX RDF
1	Pai-Hsuen Chen, Rong-En Fan, Chih-Jen Lin	A study on SMO-type decomposition methods for support vector machines.	IEEE Transactions on Neural Networks	2006	DBLP DOI BibTeX RDF
1	Gilles Lebrun, Olivier Lezoray, Christophe Charrier, Hubert Cardot	Speed-Up LOO-CV with SVM Classifier.	IDEAL	2006	DBLP DOI BibTeX RDF
1	Pai-Hsuen Chen, Rong-En Fan, Chih-Jen Lin	Training Support Vector Machines via SMO-Type Decomposition Methods.	ALT	2005	DBLP DOI BibTeX RDF
1	Pai-Hsuen Chen, Rong-En Fan, Chih-Jen Lin	Training Support Vector Machines via SMO-Type Decomposition Methods.	Discovery Science	2005	DBLP DOI BibTeX RDF
1	Wolf Kienzle, Bernhard Schölkopf	Training Support Vector Machines with Multiple Equality Constraints.	ECML	2005	DBLP DOI BibTeX RDF
1	Xiao-Lei Xia, Michael R. Lyu, Tat-Ming Lok, Guang-Bin Huang	Methods of Decreasing the Number of Support Vectors via k-Mean Clustering.	ICIC	2005	DBLP DOI BibTeX RDF
1	Haoran Zhang, Xiaodong Wang, Changjiang Zhang, Xiuling Xu	A Fast SMO Training Algorithm for Support Vector Regression.	ICNC	2005	DBLP DOI BibTeX RDF
1	Hengping Zhao, Jinshou Yu	A Modified SMO Algorithm for SVM Regression and Its Application in Quality Prediction of HP-LDPE.	ICNC	2005	DBLP DOI BibTeX RDF
1	S. Sathiya Keerthi, Kaibo Duan, Shirish Krishnaj Shevade, A. Poo	A Fast Dual Algorithm for Kernel Logistic Regression.	Machine Learning	2005	DBLP DOI BibTeX RDF	SMO algorithm, classification, kernel methods, logistic regression
1	Benjamín Castañeda, Juan C. Cockburn, Muhammad Shaaban	Optimal and Non-Optimal Parallel Implementations of the Sequential Minimal Optimization Algorithm for Support Vector Machine Training.	ISCA PDCS	2004	DBLP BibTeX RDF
1	Francis R. Bach, Gert R. G. Lanckriet, Michael I. Jordan	Multiple kernel learning, conic duality, and the SMO algorithm.	ICML	2004	DBLP DOI BibTeX RDF
1	Xiaoyun Wu, Rohini K. Srihari	Incorporating prior knowledge with weighted margin support vector machines.	KDD	2004	DBLP DOI BibTeX RDF	incorporating prior knowledge, support vector machines, text categorization
1	Maciej Kusy	Application of SVM to Ovarian Cancer Classification Problem.	ICAISC	2004	DBLP DOI BibTeX RDF
1	Huaqing Li, Shaoyu Wang, Feihu Qi	Minimal Enclosing Sphere Estimation and Its Application to SVMs Model Selection.	ISNN	2004	DBLP DOI BibTeX RDF
1	Xiang Wu, Wenkai Lu	Nested Buffer SMO Algorithm for Training Support Vector Classifiers.	ISNN	2004	DBLP DOI BibTeX RDF
1	Vojislav Kecman, Michael Vogt, Te Ming Huang	On the equality of kernel AdaTron and sequential minimal optimization in classification and regression tasks and alike algorithms for kernel machines.	ESANN	2003	DBLP BibTeX RDF
1	Xiaoyun Wu, Rohini K. Srihari	New í-Support Vector Machines and their Sequential Minimal Optimization.	ICML	2003	DBLP BibTeX RDF
1	Jianmin Li, Bo Zhang, Fuzong Lin	A New Strategy for Selecting Working Sets Applied in SMO.	ICPR	2002	DBLP DOI BibTeX RDF
1	Jianmin Li, Bo Zhang, Fuzong Lin	A New Cache Replacement Algorithm in SMO.	SVM	2002	DBLP DOI BibTeX RDF
1	Dmitry Pavlov, Jianchang Mao, Byron Dom	Scaling-Up Support Vector Machines Using Boosting Algorithm.	ICPR	2000	DBLP DOI BibTeX RDF	boosting algorithm, machine learning, Support vector machines
1	Olvi L. Mangasarian, David R. Musicant	Successive overrelaxation for support vector machines.	IEEE Transactions on Neural Networks	1999	DBLP DOI BibTeX RDF