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Kernel trick
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21	Notes 7 Statistical Machine Learning Kernel Methods and SVMs Instructor: Justin Domke Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2011-11-07 14:35:34 Linear algebra Abstract algebra Support vector machine Kernel trick Vector space Constructible universe Algebra Mathematics Statistical classification
22	BIOINFORMATICS Vol. 00 no[removed]Pages 1–10 Protein function prediction via graph kernels Add to Reading List Source URL: www.ong-home.my Language: English - Date: 2013-12-12 02:50:01 Statistical classification Support vector machine Kernel trick Kernel Graph Bioinformatics Matroid theory Protein–protein interaction prediction Mathematics Statistics Graph theory
23	Education Support Vector Machines and Kernels for Computational Biology Asa Ben-Hur1., Cheng Soon Ong2,3.¤, So¨ren Sonnenburg4, Bernhard Scho¨lkopf3, Gunnar Ra¨tsch2* 1 Department of Computer Science, Colorado State Add to Reading List Source URL: www.ong-home.my Language: English - Date: 2013-12-12 02:50:01 Statistical classification Support vector machine Shogun Kernel methods Linear classifier Kernel trick String kernel Gaussian function Margin classifier Statistics Machine learning Mathematics
24	Notes 6 Statistical Machine Learning Kernel Methods and SVMs Instructor: Justin Domke Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2011-11-07 14:35:36 Statistical classification Abstract algebra Support vector machine Vector space Kernel trick Algebra Mathematics Linear algebra
25	Journal of Machine Learning Research[removed]xxxx Submitted xx/xx; Published xx/xx Learning the Kernel with Hyperkernels Cheng Soon Ong Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2003-06-01 22:09:54 Hilbert space Operator theory Reproducing kernel Hilbert space Statistical classification Positive-definite kernel Kernel trick Kernel Support vector machine Integral transform Algebra Mathematics Linear algebra
26	One-sided Support Vector Regression for Multiclass Cost-sensitive Classification Han-Hsing Tu Hsuan-Tien Lin Add to Reading List Source URL: www.icml2010.org Language: English - Date: 2010-06-13 09:06:40 Support vector machine Statistical classification Supervised learning Perceptron Regression analysis Empirical risk minimization Kernel trick Pattern recognition Least squares support vector machine Statistics Machine learning Computational statistics
27	Research Article Received: 5 December 2007, Revised: 24 March 2008, Accepted: 29 March 2008, Add to Reading List Source URL: www.cs.iastate.edu Language: English - Date: 2008-05-25 21:16:36 Statistics Epitope Linear epitope Conformational epitope Antibody Support vector machine Major histocompatibility complex Kernel trick Kernel methods Immune system Biology Anatomy
28	In Proc. of CIKM 2006, Arlington, VA, USA 3DString: A Feature String Kernel for 3D Object Classification on Voxelized Data Johannes Aßfalg, Karsten M. Borgwardt, Hans-Peter Kriegel Institute for Computer Science Add to Reading List Source URL: www.dbs.ifi.lmu.de Language: English - Date: 2007-03-12 04:44:49 Multivariate statistics 3D computer graphics 3D imaging Signal processing Voxel String kernel Kernel principal component analysis Kernel trick Kernel Statistics Mathematics Statistical classification
29	The Pairwise Piecewise-Linear Embedding for Efficient Non-Linear Classification Ofir Pele, Ben Taskar ofirpele,[removed] University of Pennsylvania, Department of Computer and Information Science, Philadelphia Add to Reading List Source URL: homes.cs.washington.edu Language: English - Date: 2013-02-01 13:14:33 Abstract algebra Functions and mappings Linear algebra Statistical classification Continuously embedded Functional analysis Embedding Kernel trick Vector space Algebra Mathematics Mathematical analysis
30	Kernel Methods aren’t Dead Yet: Using Kernel Methods on Large Datasets BY EDWARD RAFF What is this about?   Kernel Methods aka the “kernel trick”, most used in Add to Reading List Source URL: www.edwardraff.com Language: English - Date: 2014-09-10 22:55:49 Linear algebra Statistical classification Support vector machine Abstract algebra Functional analysis Kernel trick Kernel Linux kernel Vector space Algebra Mathematics Machine learning

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