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Kernel method
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31	September 14, :56 WSPC - Proceedings Trim Size: 9.75in x 6.5in Add to Reading List Source URL: www.jsbi.org Language: English - Date: 2009-12-21 01:59:54 Mathematical optimization Operations research Machine learning Statistical classification Support vector machine Positive-definite kernel Hyperparameter optimization Kernel method Constructible universe Dynamic programming Distribution
32	Learning Discriminative Fisher Kernels Laurens van der Maaten Pattern Recognition & Bio-informatics Laboratory, Delft University of Technology, THE NETHERLANDS Add to Reading List Source URL: lvdmaaten.github.io Language: English - Date: 2016-07-16 15:30:43 Estimation theory Machine learning Statistical classification Fisher kernel Categorical data Pattern recognition Kernel method Positive-definite kernel Support vector machine Maximum likelihood estimation Kernel Likelihood function
33	Online Learning of Structured Predictors with Multiple Kernels Andr´e F. T. Martins∗† Noah A. Smith∗ Eric P. Xing∗ Pedro M. Q. Aguiar‡ M´ario A. T. Figueiredo† ∗ ‡ † Add to Reading List Source URL: users.isr.ist.utl.pt Language: English - Date: 2011-05-11 04:48:52 Data mining Multiple kernel learning Statistical classification Machine learning Support vector machine Kernel method Feature selection Positive-definite kernel Kernel Structured prediction
34	Bayes Optimal Kernel Discriminant Analysis Di You and Aleix M. Martinez Department of Electrical and Computer Engineering The Ohio State University, Columbus, OH 43210, USA Add to Reading List Source URL: www2.ece.ohio-state.edu Language: English - Date: 2010-07-14 17:50:30 Multivariate statistics Statistical classification Linear discriminant analysis Kernel method Kernel Fisher discriminant analysis Normal distribution K-nearest neighbors algorithm Distribution Kernel
35	Contents 1 Introduction 2 The Add to Reading List Source URL: www.bioinf.jku.at Language: English - Date: 2013-01-23 02:33:21 Linear algebra Abstract algebra Statistical classification Matrix theory Matrices Support vector machine Matrix Kernel method Linear classifier Kernel Euclidean vector Eigenvalues and eigenvectors
36	Kernel-based Methods for Relation Extraction Yifan Peng Computer & Information Sciences University of Delaware Nov 3, 2014 Add to Reading List Source URL: www.eecis.udel.edu Language: English - Date: 2015-01-29 00:01:45 Natural language processing Artificial intelligence Information extraction Kernel method Graph kernel Kernel CXC chemokine receptors Linux kernel Tree kernel
37	Genome Informatics 11: 237–ALL/AML Cancer Classification by Gene Expression Data Using SVM and CSVM Approach∗ Add to Reading List Source URL: www.jsbi.org Language: English - Date: 2001-02-21 04:07:12 Machine learning Statistical classification Support vector machine Cross-validation Kernel method Test set
38	09081 Abstracts Collection Similarity-based learning on structures Dagstuhl Seminar Michael Biehl1 , Barbara Hammer2 , Sepp Hochreiter3 , Stefan C. Kremer4 and Thomas Villmann5 Add to Reading List Source URL: www.bioinf.jku.at Language: English - Date: 2011-08-11 05:09:17 Computational biology Sepp Hochreiter Geostatistics Kernel method Bioinformatics Machine learning Structured prediction Similarity measure Quantitative structureactivity relationship Pattern recognition
39	Automatically Grading Learners’ English Using a Gaussian Process Rogier C. van Dalen, Kate M. Knill, Mark J. F. Gales ALTA Institute / Department of Engineering, University of Cambridge, United Kingdom {rcv25,kmk1001,m Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2015-06-24 05:28:12 Geostatistics Covariance and correlation Stochastic processes Interpolation Gaussian process Normal distribution Covariance function Kernel method Speech recognition Radial basis function Correlation and dependence Variance
40	IEEE TRANSACTIONS ON SIGNAL PROCESSING, VOL. 53, NO. 11, NOVEMBERNonparametric Decentralized Detection Using Kernel Methods Add to Reading List Source URL: dept.stat.lsa.umich.edu Language: English - Date: 2005-10-29 19:46:54 Machine learning Learning Artificial intelligence Statistics Support vector machine Kernel method Statistical classification Positive-definite kernel Empirical risk minimization Loss function Statistical learning theory Bayes estimator

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