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Loss function
Results: 478

#	Item
271	Learning for Stereo Vision Using the Structured Support Vector Machine Yunpeng Li Daniel P. Huttenlocher Department of Computer Science, Cornell University Ithaca, NY 14853 {yuli,dph}@cs.cornell.edu Add to Reading List Source URL: www.cs.cornell.edu Language: English - Date: 2008-04-04 16:14:59 Statistical inference Statistical classification Statistical models Loss function Parametric model Maximum likelihood Support vector machine Expectation–maximization algorithm Supervised learning Statistics Statistical theory Estimation theory
272	Dirty Statistical Models Pradeep Ravikumar Department of Computer Science University of Texas at Austin [removed] Add to Reading List Source URL: www.cs.utexas.edu Language: English - Date: 2013-11-07 09:47:43 Econometrics Regression analysis M-estimators Loss function Linear regression Parametric model Consistent estimator Regularization Degrees of freedom Statistics Estimation theory Statistical theory
273	Sidestepping Intractable Inference with Structured Ensemble Cascades David Weiss∗ Benjamin Sapp∗ Ben Taskar Computer and Information Science Add to Reading List Source URL: homes.cs.washington.edu Language: English - Date: 2013-04-28 17:51:55 Estimation theory Decision theory Loss function Belief propagation Constructible universe Statistics Econometrics Statistical theory
274	RMM Vol. 3, 2012, 71–107 Special Topic: Statistical Science and Philosophy of Science Edited by Deborah G. Mayo, Aris Spanos and Kent W. Staley http://www.rmm-journal.de/ Deborah Mayo Add to Reading List Source URL: www.rmm-journal.de Language: English - Date: 2012-12-17 08:57:10 Philosophy of science Hypothesis testing Bayesian statistics Frequentist inference Frequency probability Statistical hypothesis testing Philosophy of statistics Loss function Bayesian inference Statistics Statistical inference Statistical theory
275	Predicting Search Engine Switching in WSCD 2013 Challenge Qiang Yan Institute of Automation Chinese Academy of Sciences Beijing, China Add to Reading List Source URL: www.select.cs.cmu.edu Language: English - Date: 2013-01-20 14:26:09 Logistic regression Probit Tikhonov regularization Loss function Regularization N-gram Hidden Markov model Predictive analytics Outline of regression analysis Statistics Econometrics Regression analysis
276	Molecular Cell, Vol. 6, 1013–1024, November, 2000, Copyright ©2000 by Cell Press Specific Gain- and Loss-of-Function Phenotypes Induced by Satellite-Specific DNA-Binding Drugs Fed to Drosophila melanogaster Sam Janss Add to Reading List Source URL: www.molbio.unige.ch Language: English - Date: 2011-06-08 10:24:20 Classical genetics Position effect Position-effect variegation Dominance P element Drosophila melanogaster Bishop John T. Walker Distinguished Humanitarian Service Award Genotype Zygosity Biology Genetics Philosophy of biology
277	Exponential Family Graph Matching and Ranking James Petterson, Tib´erio S. Caetano, Julian J. McAuley and Jin Yu NICTA - Australian National University Canberra, Australia Abstract Add to Reading List Source URL: www.tiberiocaetano.com Language: English - Date: 2009-09-15 15:57:54 Maximum likelihood Sufficient statistic Loss function Consistent estimator Dimensional analysis Matching Bipartite graph Fisher information Statistics Statistical theory Estimation theory
278	Structured Prediction Cascades arXiv:1208.3279v1 [stat.ML] 6 Aug 2012 David Weiss, Benjamin Sapp, Ben Taskar [removed], [removed], [removed] Add to Reading List Source URL: arxiv.org Language: English - Date: 2012-08-16 20:25:04 Statistical theory Estimation theory Decision theory Loss function Entailment Logic Econometrics Statistics
279	Semi-Supervised Learning with Adversarially Missing Label Information Umar Syed Ben Taskar Department of Computer and Information Science Add to Reading List Source URL: homes.cs.washington.edu Language: English - Date: 2013-04-28 17:51:56 Pattern recognition Semi-supervised learning Stability Linear classifier Regularization Expectation–maximization algorithm Maximum likelihood Loss function Support vector machine Statistics Machine learning Supervised learning
280	MORGAN-CRAG_IRGC_Symposium_2013 Add to Reading List Source URL: www.irgc.org Language: English - Date: 2014-05-02 05:17:18 Statistical theory Actuarial science Risk Uncertainty Bayesian probability Clarity test Statistical hypothesis testing Loss function Decision making Statistics Decision theory Probability interpretations

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