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Kernel methods
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#	Item
21	kernlab – An S4 Package for Kernel Methods in R Alexandros Karatzoglou Alex Smola Technische Universit¨ Add to Reading List Source URL: mran.revolutionanalytics.com Language: English - Date: 2016-03-29 08:14:54
22	Package ‘kernlab’ March 29, 2016 VersionTitle Kernel-Based Machine Learning Lab Description Kernel-based machine learning methods for classification, regression, clustering, novelty detection, quantile regres Add to Reading List Source URL: mran.revolutionanalytics.com Language: English - Date: 2016-03-29 08:14:54
23	1 Empirical Inference 1.2 Research Projects Kernel methods Figure 1.2: Overview of the application of kernel mean embedding inTogether with the reduced set (RS) Add to Reading List Source URL: ei.is.tuebingen.mpg.de Language: English - Date: 2016-04-15 03:54:24
24	Kernel methods for hypothesis testing and inference MLSS T¨ ubingen, 2015 Arthur Gretton Gatsby Unit, CSML, UCL Add to Reading List Source URL: www.gatsby.ucl.ac.uk Language: English - Date: 2015-07-22 19:19:24
25	Support Vector Machines and Kernel Methods Chih-Jen Lin Department of Computer Science National Taiwan University Add to Reading List Source URL: www.csie.ntu.edu.tw Language: English - Date: 2010-11-08 20:49:37
26	Decentralized Detection and Classification using Kernel Methods XuanLong Nguyen XUANLONG @ CS . BERKELEY. EDU Martin J. Wainwright WAINWRIG @ EECS . BERKELEY. EDU Add to Reading List Source URL: dept.stat.lsa.umich.edu Language: English - Date: 2004-04-21 22:02:40 Operator theory Mathematics Statistical classification Algebra Distribution Number theory Positive-definite kernel Support vector machine Mathematical analysis operator Kalman filter
27	Optimal rates for random Fourier feature kernel approximations∗ Zolt´an Szab´o (Gatsby Unit, University College London)† Abstract: Kernel methods represent one of the most powerful tools in machine learning to tac Add to Reading List Source URL: www.gatsby.ucl.ac.uk Language: English - Date: 2015-11-10 17:13:11
28	Support Vector Machines and Kernel Methods: Status and Challenges Chih-Jen Lin Department of Computer Science National Taiwan University Add to Reading List Source URL: www.csie.ntu.edu.tw Language: English - Date: 2013-01-16 02:48:25
29	Optimal Rates for the Random Fourier Feature Method∗ Zolt´an Szab´o (Gatsby Unit, University College London) Abstract: Kernel methods represent one of the most powerful tools in machine learning to tackle problems ex Add to Reading List Source URL: www.gatsby.ucl.ac.uk Language: English - Date: 2015-12-04 19:26:55
30	kernlab – An S4 Package for Kernel Methods in R Alexandros Karatzoglou Alex Smola Technische Universit¨ Add to Reading List Source URL: mran.microsoft.com Language: English - Date: 2016-03-29 08:14:54 Machine learning Learning Statistics Statistical classification Nonparametric statistics Geostatistics Kernel method Multivariate statistics Support vector machine Radial basis function kernel Polynomial kernel Positive-definite kernel

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