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Sequential minimal optimization
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#	Item
11	Proceedings ofthe 2004 IEEE Int.rnatlmal Conference on Robotics &Automation New Orleans. LA * Aprll 2004 I Add to Reading List Source URL: profs.sci.univr.it Language: English - Date: 2011-10-29 17:47:11 Hidden Markov model Support vector machine Markov chain Speech recognition Baum–Welch algorithm Segmentation Sequential minimal optimization Expectation–maximization algorithm Viterbi algorithm Statistics Machine learning Markov models
12	Linear Support Vector Machines via Dual Cached Loops Shin Matsushima ∗ Information Science Add to Reading List Source URL: wan.poly.edu Language: English - Date: 2012-07-10 01:55:28 Mathematical optimization Convex optimization Operations research Support vector machines Statistical classification Vector space Linear programming Duality Sequential minimal optimization Mathematics Algebra Mathematical analysis
13	LNCS[removed]Face Authentication Using One-Class Support Vector Machines Add to Reading List Source URL: profs.sci.univr.it Language: English - Date: 2011-10-29 17:48:32 Support vector machines Statistical classification Kernel methods Sequential minimal optimization Silicon Valley Microelectronics Vector space SVM Machine learning Algebra Statistics
14	On-line Handwriting Recognition with Support Vector Machines--- A Kernel Approach Add to Reading List Source URL: lmb.informatik.uni-freiburg.de Language: English - Date: 2012-06-18 23:39:48 Statistical classification Support vector machines Kernel methods Fisher kernel Sequential minimal optimization Dynamic time warping Speech recognition Vector space Pattern recognition Machine learning Statistics Algebra
15	Lower Bounds on Rate of Convergence of Cutting Plane Methods Xinhua Zhang Dept. of Computing Science University of Alberta [removed] Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2010-11-02 20:20:19 Operations research Convex optimization Support vector machines Statistical classification Sequential minimal optimization Linear programming Time complexity Duality Dynamic programming Mathematical optimization Theoretical computer science Applied mathematics
16	Lower Bounds on Rate of Convergence of Cutting Plane Methods Xinhua Zhang Dept. of Computing Science University of Alberta [removed] Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2010-11-02 20:20:02 Operations research Mathematical optimization Support vector machines Convex optimization Statistical classification Sequential minimal optimization Linear programming Time complexity Dynamic programming Mathematics Algebra Theoretical computer science
17	MASCOT: Fast and Highly Scalable SVM Cross-validation using GPUs and SSDs Zeyi Wen # , Rui Zhang # , Kotagiri Ramamohanarao # , Jianzhong Qi # , Kerry Taylor ∗ # # Add to Reading List Source URL: people.eng.unimelb.edu.au Language: English - Date: 2014-10-30 01:13:21 Machine learning Statistical classification Support vector machines GPGPU Video cards K-nearest neighbor algorithm Sequential minimal optimization Thread Linux kernel Statistics Computing Computer architecture
18	MASCOT: Fast and Highly Scalable SVM Cross-validation using GPUs and SSDs Zeyi Wen # , Rui Zhang # , Kotagiri Ramamohanarao # , Jianzhong Qi # , Kerry Taylor ∗ # # Add to Reading List Source URL: www.ruizhang.info Language: English - Date: 2014-10-30 06:59:27 Machine learning Statistical classification Support vector machines GPGPU Video cards K-nearest neighbor algorithm Sequential minimal optimization Thread Linux kernel Statistics Computing Computer architecture
19	Block-Coordinate Frank-Wolfe Optimization for Structural SVMs Simon Lacoste-Julien∗ Martin Jaggi ∗ Add to Reading List Source URL: jmlr.csail.mit.edu Language: English - Date: 2013-08-14 01:36:43 Linear programming Operations research Statistical classification Support vector machine Sequential minimal optimization Subgradient method Duality Stochastic gradient descent Frank–Wolfe algorithm Mathematical optimization Convex optimization Numerical analysis
20	Multiplicative Updates for Large Margin Classifiers Fei Sha1 , Lawrence K. Saul1 , and Daniel D. Lee2 Department of Computer and Information Science Department of Electrical and Systems Engineering University of Pennsylv Add to Reading List Source URL: www-bcf.usc.edu Language: English - Date: 2011-08-01 12:49:01 Statistical classification Support vector machines Mathematical optimization Quadratic forms Lagrange multiplier Non-negative matrix factorization Weight Vector space Sequential minimal optimization Algebra Mathematics Linear algebra

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