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Hinge loss
Results: 39

#	Item
31	Collective Activity Detection using Hinge-loss Markov Random Fields Ben London, Sameh Khamis, Stephen H. Bach, Bert Huang, Lise Getoor, Larry Davis University of Maryland College Park, MD 20742 {blondon,sameh,bach,bert,g Add to Reading List Source URL: cvpr13ws.is.tue.mpg.de Language: English - Date: 2013-06-26 12:59:39 Artificial intelligence Statistics Bayesian statistics Graphical models Markov models Markov random field Hidden Markov model Activity recognition Causality Science Probability Theoretical computer science
32	Multiclass Boosting with Hinge Loss based on Output Coding Tianshi Gao Electrical Engineering Department, Stanford, CA[removed]USA Daphne Koller Computer Science Department, Stanford, CA[removed]USA Add to Reading List Source URL: ai.stanford.edu Language: English - Date: 2012-08-02 01:49:01 Learning Ensemble learning Support vector machine Multiclass classification Perceptron Hinge loss AdaBoost Cross-validation Statistics Machine learning Statistical classification
33	Perturbation based Large Margin Approach for Ranking Eunho Yang University of Texas at Austin Ambuj Tewari Add to Reading List Source URL: jmlr.csail.mit.edu Language: English - Date: 2012-04-26 08:57:12 Artificial intelligence Support vector machines Information retrieval Statistical classification Learning to rank Linear algebra Hinge loss Structured SVM Ranking SVM Mathematics Algebra Machine learning
34	Multiclass Learning with Simplex Coding Youssef Mroueh],‡ , Tomaso Poggio] , Lorenzo Rosasco],‡ Jean-Jacques E. Slotine† ] - CBCL, McGovern Institute, MIT;† - IIT; † - ME, BCS, MIT arXiv:1209.1360v2 [stat.ML] 1 Add to Reading List Source URL: arxiv.org Language: English - Date: 2012-09-16 20:08:29 Machine learning Statistical classification Support vector machines Functions and mappings Empirical risk minimization Hinge loss Vector space Convex optimization Function Mathematics Statistics Algebra
35	Minimizing The Misclassification Error Rate Using a Surrogate Convex Loss Shai Ben-David University of Waterloo David Loker Add to Reading List Source URL: icml.cc Language: English - Date: 2012-06-07 13:20:54 Machine learning Mathematical optimization Hinge loss Convex function Convex optimization Perceptron Support vector machine Loss function Linear prediction Statistics Statistical classification Convex analysis
36	Similarity-Based Theoretical Foundation for Sparse Parzen Window Prediction Maria-Florina Balcan Avrim Blum Computer Science Department, Carnegie Mellon University Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2008-05-06 20:35:46 Statistical classification Machine learning Operator theory Learning Support vector machine Hinge loss Relevance vector machine Hilbert space Function Statistics Mathematics Artificial intelligence
37	L1 AND L2 REGULARIZATION FOR MULTICLASS HINGE LOSS MODELS Robert C. Moore and John DeNero Google Research Add to Reading List Source URL: www.ttic.edu Language: English - Date: 2013-09-11 11:03:38 Learning Artificial intelligence Regularization Limited-memory BFGS Support vector machine Solid modeling Hinge loss Orthant-wise limited-memory quasi-Newton Machine learning Statistics Statistical classification
38	39 6 CONSISTENCY Add to Reading List Source URL: www.stat.osu.edu Language: English - Date: 2008-05-07 02:46:19 Mathematics Convex analysis Econometrics Decision theory Fisher consistency Empirical risk minimization Hinge loss Loss function Convex function Statistics Statistical theory Machine learning
39	PDF Document Add to Reading List Source URL: web.mit.edu Language: English - Date: 2004-12-22 06:14:06 Econometrics Machine learning Calculus Decision theory Loss function Continuous function Hinge loss Empirical risk minimization Function Mathematics Statistics Mathematical analysis