Sequential minimal optimization

Results: 37



#Item
1Machine learning / Learning / Support vector machines / Artificial intelligence / Sequential minimal optimization / Multiple kernel learning / NC / Kernel method / KarushKuhnTucker conditions

Multiple Kernel Learning, Conic Duality, and the SMO Algorithm Francis R. Bach & Gert R. G. Lanckriet {fbach,gert}@cs.berkeley.edu Department of Electrical Engineering and Computer Science, University of California, Ber

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Source URL: eceweb.ucsd.edu

Language: English - Date: 2015-07-31 19:00:25
2Support vector machines / Statistical classification / Feature selection / Sequential minimal optimization / Sepp Hochreiter / Vector space / Duality / Least squares support vector machine / Ranking SVM

Nonlinear Feature Selection with the Potential Support Vector Machine Sepp Hochreiter and Klaus Obermayer Technische Universit¨ at Berlin Fakult¨

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Source URL: www.bioinf.jku.at

Language: English - Date: 2013-01-23 02:44:45
3

Chest Pain in the Emergency Department: Use of Asymmetric Penalties in Sequential Minimal Optimization with Feature Selection to Improve Clinical Decision Making Accuracy

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Source URL: cs229.stanford.edu

Language: English - Date: 2011-09-14 20:33:05
    4Statistical classification / Support vector machines / Sequential minimal optimization / Perceptron / Kernel methods / Vector space / Linear classifier / Kernel / Active learning / Machine learning / Statistics / Algebra

    Journal of Machine Learning Research–1619 Submitted 3/05; Published 9/05 Fast Kernel Classifiers with Online and Active Learning

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    Source URL: www.jmlr.org

    Language: English - Date: 2005-09-27 11:30:43
    5Operations research / Statistical classification / Support vector machine / Mathematical optimization / Stochastic gradient descent / Algorithm / Gradient descent / Sequential minimal optimization / Ranking SVM / Statistics / Numerical analysis / Mathematics

    0 Large Linear Classification When Data Cannot Fit In Memory Hsiang-Fu Yu, Cho-Jui Hsieh, Kai-Wei Chang and Chih-Jen Lin, Department of Computer Science, National Taiwan University Recent advances in linear classificati

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    Source URL: www.csie.ntu.edu.tw

    Language: English - Date: 2011-11-04 17:52:46
    6Statistical classification / Linear algebra / Support vector machines / Abstract algebra / Kernel / Algorithm / String kernel / Sequential minimal optimization / Vector space / Algebra / Mathematics / Statistics

    Kernel Methods Fast Algorithms and Real Life Applications A Thesis Submitted For the Degree of

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    Source URL: www.stat.purdue.edu

    Language: English - Date: 2008-09-11 13:00:43
    7Operations research / Mathematical optimization / Support vector machines / Convex optimization / Statistical classification / Sequential minimal optimization / Linear programming / Time complexity / Dynamic programming / Mathematics / Algebra / Theoretical computer science

    Lower Bounds on Rate of Convergence of Cutting Plane Methods Xinhua Zhang Dept. of Computing Science University of Alberta

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    Source URL: people.cs.uchicago.edu

    Language: English - Date: 2010-11-03 13:50:24
    8Mathematical optimization / Convex optimization / Operations research / Support vector machines / Statistical classification / Vector space / Linear programming / Duality / Sequential minimal optimization / Mathematics / Algebra / Mathematical analysis

    Linear Support Vector Machines via Dual Cached Loops ∗ Shin Matsushima Information Science

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    Source URL: www.stat.purdue.edu

    Language: English - Date: 2013-01-13 21:19:49
    9Operations research / Convex optimization / Statistical classification / Support vector machines / Linear programming / Duality / Vector space / Artificial neural network / Sequential minimal optimization / Mathematics / Algebra / Mathematical optimization

    Linear Support Vector Machines via Dual Cached Loops ∗ Shin Matsushima Information Science

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    Source URL: www.r.dl.itc.u-tokyo.ac.jp

    Language: English - Date: 2012-03-07 22:51:07
    10Support vector machines / Statistical classification / Active learning / Sequential minimal optimization / Perceptron / Word-sense disambiguation / Machine learning / Statistics / Artificial intelligence

    The Pennsylvania State University The Graduate School LEARNING IN EXTREME CONDITIONS: ONLINE AND ACTIVE LEARNING WITH MASSIVE, IMBALANCED AND NOISY DATA

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    Source URL: web.mit.edu

    Language: English - Date: 2010-06-04 20:53:56
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