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Support vector machine
Results: 2011

#	Item
691	To appear, International Joint Conference on Artificial Intelligence (IJCAIOne-Class Conditional Random Fields for Sequential Anomaly Detection Yale Song1 , Zhen Wen2 , Ching-Yung Lin2 , Randall Davis1 MIT Compu Add to Reading List Source URL: labs.yahoo.com Language: English - Date: 2015-01-28 16:09:52 Data security Conditional random field Local outlier factor Normal distribution Support vector machine Correlation and dependence Statistics Data mining Anomaly detection
692	R EGULARIZED L EAST S QUARES AND S UPPORT V ECTOR M ACHINES Francesca Odone and Lorenzo Rosasco RegML 2014 Add to Reading List Source URL: lcsl.mit.edu Language: English - Date: 2014-06-30 18:00:14 Summability methods Mathematical analysis Mathematics Machine learning Support vector machine Regularization Tikhonov regularization Least squares support vector machine Statistics Statistical classification Quantum field theory
693	M ODEL S ELECTION AND R EGULARIZATION PARAMETER C HOICE R EGULARIZATION M ETHODS FOR H IGH D IMENSIONAL L EARNING Francesca Odone and Lorenzo Rosasco - Add to Reading List Source URL: lcsl.mit.edu Language: English - Date: 2014-07-02 03:10:16 Statistical classification Mathematics Summability methods Learning Regularization Tikhonov regularization Support vector machine Generalization error Solid modeling Statistics Machine learning Quantum field theory
694	11th International Society for Music Information Retrieval Conference (ISMIRA CARTESIAN ENSEMBLE OF FEATURE SUBSPACE CLASSIFIERS FOR MUSIC CATEGORIZATION T. Lidy, R. Mayer, A. Rauber Vienna University of Technolo Add to Reading List Source URL: ismir2010.ismir.net Language: English - Date: 2014-01-23 13:05:26 Statistical classification Learning Ensemble learning Information retrieval AdaBoost Support vector machine International Society for Music Information Retrieval Feature selection Classifier Statistics Artificial intelligence Machine learning
695	Support Vector and Kernel Machines Nello Cristianini BIOwulf Technologies http://www.support-vector.net/tutorial.html Add to Reading List Source URL: www.support-vector.net Language: English - Date: 2008-03-17 13:46:57 Nello Cristianini Kernel methods Support vector machine Learning Kernel Perceptron Linux kernel Positive-definite kernel John Shawe-Taylor Machine learning Statistics Statistical classification
696	6.867 Machine learning, lecture 4 (Jaakkola) 1 The Support Vector Machine and regularization We proposed a simple relaxed optimization problem for ﬁnding the maximum margin sep Add to Reading List Source URL: ocw.mit.edu Language: English - Date: 2015-03-15 16:36:56 M-estimators Regression analysis Econometrics Maximum likelihood Loss function Likelihood function Logistic function Logistic regression Regularization Statistics Estimation theory Statistical theory
697	6.867 Machine learning, lecture 3 (Jaakkola) 1 The Support Vector Machine So far we have used a reference assumption that there exists a linear classiﬁer that has Add to Reading List Source URL: ocw.mit.edu Language: English - Date: 2015-03-15 16:36:56 Mathematical optimization Statistical classification Operations research Support vector machine Vector space Perceptron Quadratic programming Algebra Mathematics Statistics
698	Jeeva: Enterprise Grid-enabled Web Portal for Protein Secondary Structure Prediction Chao Jin, Jayavardhana Gubbi† , Rajkumar Buyya, and Marimuthu Palaniswami† † Grid Computing and Distributed Systems Lab Departmen Add to Reading List Source URL: www.cloudbus.org Language: English - Date: 2008-06-21 20:47:07 Protein structure Science Statistical classification Biology Molecular modelling Rosetta@home Support vector machine EVA Protein structure prediction Bioinformatics Statistics Protein methods
699	WP_Koen_W_De_Bock_en_Dirk_Van_den_Poel1 Add to Reading List Source URL: www.feb.ugent.be Language: English - Date: 2012-09-09 17:15:49 Regression analysis Random subspace method Generalized additive model Statistical classification Learning classifier system Random forest Bootstrapping Feature selection Support vector machine Statistics Machine learning Ensemble learning
700	Discriminatively Trained Markov Model for Sequence Classification Oksana Yakhnenko, Adrian Silvescu, Vasant Honavar Artificial Intelligence Research Laboratory Center for Computational Intelligence Learning and Discovery Add to Reading List Source URL: www.cs.iastate.edu Language: English - Date: 2005-10-29 21:29:16 Graphical models Bayesian statistics Statistical models Generative model Naive Bayes classifier Support vector machine Discriminative model Cross-validation Markov random field Statistics Machine learning Statistical classification

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