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![]() Date: 2013-11-07 07:12:56Statistical theory Structured SVM Support vector machine Function Supervised learning Linear classifier Loss function Statistics Statistical classification Machine learning | Add to Reading List |
![]() | Metric Learning to Rank Brian McFee Department of Computer Science and Engineering, University of California, San Diego, CAUSA Gert LanckrietDocID: 1oZVx - View Document |
![]() | Perturbation based Large Margin Approach for Ranking Eunho Yang University of Texas at Austin Ambuj TewariDocID: 1m9Nw - View Document |
![]() | Ensemble of SVM Trees for Multimodal Emotion Recognition Viktor Rozgić, Sankaranarayanan Ananthakrishnan, Shirin Saleem, Rohit Kumar, and Rohit Prasad Speech Language and Multimedia Technologies, Raytheon BBN TechnologiDocID: 1lKtf - View Document |
![]() | VISI561_source.nohead.pdfDocID: 1aU3u - View Document |
![]() | Kernelizing Linear Classifiers Jason D. M. Rennie December 6, 2003 Abstract It’s common knowledge that the Support Vector Machine (SVM) canDocID: 19Ill - View Document |