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Support vector machine
Results: 2011

#	Item
481	Microsoft Word - Report_v3.doc Add to Reading List Source URL: www.speech.kth.se Language: English Statistics Vowels Computational linguistics Statistical classification Cognition Speech perception Speech recognition Swedish language Support vector machine Linguistics Phonetics Human voice
482	Large-scale Linear RankSVM Ching-Pei Lee and Chih-Jen Lin Department of Computer Science, National Taiwan University, Taipei 10617, Taiwan Keywords: Learning to rank, Ranking support vector machines, Large-scale learning Add to Reading List Source URL: www.csie.ntu.edu.tw Language: English - Date: 2014-01-07 05:08:13 Operations research Mathematical optimization Support vector machine Hessian matrix Vector space Algebra Mathematics Linear algebra
483	A Gaussian Latent Variable Model for Large Margin Classification of Labeled and Unlabeled Data Do-kyum Kim, Matthew Der and Lawrence K. Saul Department of Computer Science and Engineering, University of California, San D Add to Reading List Source URL: cseweb.ucsd.edu Language: English - Date: 2014-02-24 20:30:41 Estimation theory Learning Statistical theory Semi-supervised learning Expectation–maximization algorithm Supervised learning Support vector machine Maximum likelihood Stability Statistics Machine learning Statistical classification
484	Stacked Generalization Learning to Analyze Teenage Distress Add to Reading List Source URL: affect.media.mit.edu Language: English - Date: 2015-03-20 13:02:55 Statistical classification Ensemble learning Evaluation methods Research methods Support vector machine Qualitative research Feature selection Gradient boosting Statistics Machine learning Science
485	Novel Distance-Based SVM Kernels for Infinite Ensemble Learning Hsuan-Tien Lin and Ling Li , Learning Systems Group, California Institute of Technology, USA Add to Reading List Source URL: www.work.caltech.edu Language: English - Date: 2005-11-06 04:48:00 Statistical classification Support vector machine AdaBoost Perceptron Margin classifier Kernel trick Boosting Decision stump Least squares support vector machine Machine learning Statistics Ensemble learning
486	Use of Multi-category Proximal SVM for Data Set Reduction S.V.N Vishwanathan ? Add to Reading List Source URL: www.stat.purdue.edu Language: English - Date: 2008-09-11 13:00:48 Learning Support vector machines VC dimension Least squares support vector machine Statistics Machine learning Statistical classification
487	Domain adaptive bootstrapping for named entity recognition Dan Wu1 , Wee Sun Lee2 , Nan Ye2 1 Singapore MIT Alliance 2 Department of Computer Science Add to Reading List Source URL: www.comp.nus.edu.sg Language: English - Date: 2013-03-09 06:37:26 Learning Support vector machine Word-sense disambiguation Supervised learning Transduction Statistical classification Active learning Binary classification Semi-supervised learning Machine learning Statistics Artificial intelligence
488	Applying Probabilistic Thematic Clustering for Classification in the TREC 2005 Genomics Track Z. H. Zheng, S. Brady, A. Garg, H. Shatkay School of Computing, Queen’s University Kingston, Ontario, Canada {zhi, 1sb1, 2ag Add to Reading List Source URL: trec.nist.gov Language: English Binary classification Naive Bayes classifier Support vector machine Classifier Boosting methods for object categorization Bag of words model in computer vision Statistics Statistical classification Machine learning
489	SimpleSVM A SVM Training Algorithm S.V.N. Vishwanathan National ICT Australia and Add to Reading List Source URL: www.stat.purdue.edu Language: English - Date: 2009-08-21 20:39:08 Active set Constraint Duality Support vector machine Mathematical optimization Mathematical analysis Numerical analysis
490	2214 IEEE TRANSACTIONS ON MULTIMEDIA, VOL. 16, NO. 8, DECEMBER 2014 Conceptlets: Selective Semantics for Classifying Video Events Add to Reading List Source URL: isis-data.science.uva.nl Language: English - Date: 2014-11-20 02:38:08 Probability theory Dimension reduction Feature selection Entropy Cross-validation Concept Support vector machine Event Statistics Model selection Machine learning

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