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Structured SVM
Results: 34

#	Item
21	doi:[removed][removed]Predicting Structured Objects with Support Vector Machines By Thorsten Joachims, Thomas Hofmann, Yisong Yue, and Chun-Nam Yu Add to Reading List Source URL: www.yisongyue.com Language: English - Date: 2009-10-23 13:22:17 Support vector machines Protein methods Statistical classification Bioinformatics Learning Perceptron Protein structure prediction Structured SVM Dynamic programming Machine learning Statistics Mathematics
22	Optimization of Robust Loss Functions for Weakly-Labeled Image Taxonomies: An ImageNet Case Study Julian J. McAuley1 , Arnau Ramisa2 , and Tib´erio S. Caetano1 1 Add to Reading List Source URL: cseweb.ucsd.edu Language: English - Date: 2014-07-10 21:47:00 Support vector machine Linear classifier Function Loss function Structured SVM Statistics Statistical classification Machine learning
23	LNCS[removed]Active Learning with Support Vector Machines for Tornado Prediction Add to Reading List Source URL: www.dddas.org Language: English - Date: 2007-04-28 02:00:00 Artificial intelligence Support vector machine Active learning Margin classifier Binary classification Computational learning theory Document classification Structured SVM Statistics Machine learning Statistical classification
24	Max-Margin Hidden Conditional Random Fields for Human Action Recognition Yang Wang School of Computing Science Simon Fraser University, Canada Greg Mori Add to Reading List Source URL: www.cs.sfu.ca Language: English - Date: 2009-03-18 12:34:49 Support vector machines Science Theoretical computer science Machine learning Model theory Structured SVM Conditional random field Mathematical optimization Linear programming Mathematics Applied mathematics Operations research
25	Jointly Learning to Extract and Compress Taylor Berg-Kirkpatrick Dan Gillick Dan Klein Computer Science Division University of California at Berkeley Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2011-09-19 22:37:07 Linguistics Automatic summarization Constrained conditional model Multi-document summarization ROUGE Sentence extraction N-gram Structured SVM Linear programming Natural language processing Science Computational linguistics
26	A Support Vector Method for Multivariate Performance Measures Thorsten Joachims [removed] Cornell University, Dept. of Computer Science, 4153 Upson Hall, Ithaca, NY[removed]USA Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:15:47 Artificial intelligence Support vector machines Learning Supervised learning Mathematical optimization Margin classifier Linear classifier Structured SVM Empirical risk minimization Statistics Machine learning Statistical classification
27	Multi-class protein fold recognition using adaptive codes Eugene Ie EIE @ CS . COLUMBIA . EDU Center for Computational Learning Systems, Columbia University, New York, NY[removed]USA Jason Weston Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:15:11 Neural networks Protein structure Protein methods Perceptron Support vector machine Linear classifier Structured SVM Margin classifier Supervised learning Statistics Machine learning Statistical classification
28	Efficient Structured Prediction with Latent Variables for General Graphical Models Alexander G. Schwing Computer Science Department, ETH Zurich, 8092 Zurich, Switzerland Tamir Hazan Toyota Technological Institute at Chic Add to Reading List Source URL: icml.cc Language: English - Date: 2012-06-07 13:20:18 Structured SVM Function Constructible universe Variance Vector space Lambda calculus Algebra Mathematics Probability theory
29	1 Structured SVMs for Automatic Speech Recognition Shi-Xiong Zhang, Student Member, IEEE and M. J. F. Gales, Fellow, IEEE Abstract—Combining generative and discriminative models Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2012-10-19 07:01:36 Analysis of algorithms Mathematics Maximum likelihood Statistical theory Hidden Markov model Big O notation Structured SVM Science Estimation theory Statistics Support vector machines
30	Structured Support Vector Machines for Noise Robust Continuous Speech Recognition Shi-Xiong Zhang and Mark Gales Department of Engineering, University of Cambridge, Cambridge, UK {sxz20, mjfg}@eng.cam.ac.uk Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2012-01-19 12:21:15 Statistical classification Support vector machines Bioinformatics Markov models Hidden Markov model Structured SVM Speech recognition Conditional random field Maximum likelihood Statistics Machine learning Probability and statistics

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