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Positive-definite kernel
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41	Estimating the Class Posterior Probabilities in Protein Secondary Structure Prediction Yann Guermeur and Fabienne Thomarat LORIA – Equipe ABC Campus Scientiﬁque, BPVandœuvre-l`es-Nancy Cedex, France Add to Reading List Source URL: www.loria.fr Language: English - Date: 2012-02-15 11:41:46 Operator theory Support vector machine Machine learning Protein secondary structure Positive-definite kernel Logistic regression Statistics Statistical classification Regression analysis
42	Radius-Margin Bound on the Leave-One-Out Error of the LLW-M-SVM Yann Guermeur1 , Emmanuel Monfrini2 1 2 Add to Reading List Source URL: www.loria.fr Language: English - Date: 2010-10-15 14:03:31 Mathematical analysis Statistical classification Hilbert space Linear algebra Support vector machine Reproducing kernel Hilbert space Inner product space Positive-definite kernel Least squares support vector machine Algebra Operator theory Mathematics
43	Microsoft PowerPoint - KernelPrimer Add to Reading List Source URL: www.jaist.ac.jp Language: English - Date: 2006-07-06 05:50:12 Linear algebra Statistical classification Hilbert space Operator theory Kernel trick Kernel Support vector machine Vector space Positive-definite kernel Algebra Mathematics Statistics
44	Compact Random Feature Maps Raffay Hamid eBay Research Laboratory Add to Reading List Source URL: www.raffayhamid.com Language: English - Date: 2014-05-12 17:50:54 Multivariate statistics Hilbert space Kernel trick Positive-definite kernel Linear map Projection Normal distribution Principal component analysis Random variable Statistics Mathematical analysis Mathematics
45	Kernel methods in machine learning Add to Reading List Source URL: arxiv.org Language: English - Date: 2008-07-14 12:36:36 Operator theory Hilbert space Linear algebra Signal processing Positive-definite kernel Reproducing kernel Hilbert space Kernel trick Fourier analysis Kernel principal component analysis Mathematics Mathematical analysis Algebra
46	Kernel Extrapolation S.V.N. Vishwanathan a Karsten M. Borgwardt b,∗ Omri Guttman a Alex Smola a a Statistical Machine Learning Program, National ICT Australia, Add to Reading List Source URL: www.stat.purdue.edu Language: English - Date: 2008-09-11 13:00:23 Operator theory Matrix theory Hilbert space Abstract algebra Singular value decomposition Positive-definite kernel Projection Matrix Eigenvalues and eigenvectors Algebra Mathematics Linear algebra
47	Journal of Machine Learning Research2637 Submitted 2/09; Revised 8/09; PublishedHash Kernels for Structured Data Qinfeng Shi Add to Reading List Source URL: www.stat.purdue.edu Language: English - Date: 2010-02-05 11:00:50 Mathematics Search algorithms Hilbert space Physics Error detection and correction Hash function Positive-definite kernel Reproducing kernel Hilbert space Bloom filter Mathematical analysis Hashing Operator theory
48	Hilbert Space Embeddings and Dynamical Systems S.V.N. Vishwanathan National ICT Australia, Australian National University Add to Reading List Source URL: www.stat.purdue.edu Language: English - Date: 2009-08-21 20:38:58 Linear algebra Dynamical system Systems Systems theory Hilbert space Positive-definite kernel Vector space Algebra Mathematics Operator theory
49	Kernels for Dynamic Textures S.V.N. Vishwanathan http://web.anu.edu.au/~vishy National ICT Australia and Add to Reading List Source URL: www.stat.purdue.edu Language: English - Date: 2009-08-21 20:38:51 Kernel Dynamical system Linux kernel Mathematics Positive-definite kernel Hilbert space Operator theory Physics Software
50	Journal of Machine Learning Research1908 Submitted 4/07; Revised 4/08; Published 8/08 On Relevant Dimensions in Kernel Feature Spaces Mikio L. Braun Add to Reading List Source URL: www.jmlr.org Language: English - Date: 2008-08-28 16:06:47 Multivariate statistics Linear algebra Abstract algebra Statistical classification Singular value decomposition Kernel principal component analysis Principal component analysis Kernel methods Positive-definite kernel Algebra Statistics Mathematics

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