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Support vector machine
Results: 2011

#	Item
891	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
892	Journal of Machine Learning Research[removed]746 Submitted 11/07; Revised 7/08; Published 3/09 Nieme: Large-Scale Energy-Based Models Francis Maes Add to Reading List Source URL: www.jmlr.org Language: English - Date: 2009-03-26 17:45:20 Econometrics Perceptron Backpropagation Support vector machine Supervised learning Stochastic gradient descent Loss function Regression analysis Multilayer perceptron Statistics Machine learning Neural networks
893	Model Space Visualization for Multivariate Linear Trend Discovery Zhenyu Guo Matthew O. Ward Elke A. Rundensteiner Add to Reading List Source URL: davis.wpi.edu Language: English - Date: 2009-09-22 11:04:06 Estimation theory Data analysis Statistical classification Regression analysis Linear regression Scatter plot Support vector machine Transformation 3D modeling Statistics Econometrics Multivariate statistics
894	Classification of Cancer Stage from Free-text Histology Reports Iain McCowan, Darren Moore, Mary-Jane Fry Abstract— This article investigates the classification of a patient’s lung cancer stage based on analysis of t Add to Reading List Source URL: qccat.health.qld.gov.au Language: English - Date: 2011-12-13 17:39:46 Cancer staging Anatomical pathology Lung cancer Lung cancer staging TNM staging system Unified Medical Language System Cancer Carcinoma in situ Support vector machine Medicine Oncology Statistical classification
895	Online Learning with Kernels Jyrki Kivinen Alex J. Smola Robert C. Williamson Research School of Information Sciences and Engineering Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2005-03-22 08:39:23 Statistical theory Computational statistics Neural networks Computational neuroscience Support vector machine Stochastic gradient descent Perceptron Loss function Robust statistics Statistics Machine learning Econometrics
896	Ensembles of nearest neighbour classifiers and serial analysis of gene expression Helen Priisalu† Oleg Okun⋆ ⋆ Add to Reading List Source URL: www.stes.fi Language: English - Date: 2006-10-19 04:44:00 Classifier Ensemble learning Support vector machine Binary classification Feature selection Gene expression profiling Statistics Statistical classification Machine learning
897	MULTI-CONCEPT LEARNING WITH LARGE-SCALE MULTIMEDIA LEXICONS Lexing Xie† , Rong Yan† , Jun Yang‡ ∗ † IBM T. J. Watson Research Center, ‡ Carnegie Mellon University Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2011-01-11 00:40:08 Generative model Naive Bayes classifier Training set Pattern recognition Concept learning Lexicon TRECVID Support vector machine Machine learning Statistics Discriminative model
898	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
899	Microsoft Word - MilenovaYarmusCamposVLDB2005_CameraReady.doc Add to Reading List Source URL: www.oracle.com Language: English Multivariate statistics Statistical classification Support vector machines Oracle Data Mining Cross-validation Dimension reduction Non-negative matrix factorization Feature selection Data mining Statistics Machine learning Model selection
900	Practical session : Linear SVM for two class separable data Stéphane Canu [removed], asi.insa-rouen.fr\~scanu september the 9th 2014, Ocean’s Big Data Mining, Brest Add to Reading List Source URL: oceandatamining.sciencesconf.org Language: English - Date: 2014-09-09 02:19:28 Numerical analysis Support vector machine Quadratic programming MATLAB Duality Karush–Kuhn–Tucker conditions Mathematical optimization Statistics Software

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