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Empirical risk minimization
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51	Supervised learning for computer vision: Theory and algorithms - Part I Francis Bach1 & Jean-Yves Audibert2,1 Add to Reading List Source URL: www.di.ens.fr Language: English - Date: 2008-10-11 18:22:01 Supervised learning Empirical risk minimization Support vector machine PP Statistical classification Function Pattern recognition Linear classifier Statistics Machine learning Mathematics
52	JMLR: Workshop and Conference Proceedings vol[removed]–34 Robust Interactive Learning Add to Reading List Source URL: www.cc.gatech.edu Language: English - Date: 2012-05-24 20:13:01 Applied mathematics Computational complexity theory Learning Empirical risk minimization Probably approximately correct learning Decision tree model Active learning Machine learning Theoretical computer science Artificial intelligence
53	Agnostic Active Learning Maria-Florina Balcan Add to Reading List Source URL: www.cc.gatech.edu Language: English - Date: 2012-06-02 16:55:48 Machine learning Empirical risk minimization Uniform convergence
54	Agnostic Active Learning ? Maria-Florina Balcan Carnegie Mellon University, Pittsburgh, PA 15213 Add to Reading List Source URL: www.cc.gatech.edu Language: English - Date: 2009-07-13 19:45:13 Supervised learning Empirical risk minimization Semi-supervised learning Active learning Machine learning Artificial intelligence Learning
55	Machine Learning, 17, [removed]) @ 1994 Kluwer Academic Publishers,Boston. Manufacturedin The Netherlands. Toward Efficient Agnostic Learning MICHAEL J. KEARNS Add to Reading List Source URL: www.cs.princeton.edu Language: English - Date: 2008-06-17 11:55:57 Statistics Learning Probably approximately correct learning Loss function PP Empirical risk minimization Stability Machine learning Applied mathematics Computational learning theory
56	c , , 1–43 () Add to Reading List Source URL: research.microsoft.com Language: English - Date: 2004-12-10 16:10:53 Statistical classification Computational learning theory Machine learning Linear algebra Empirical process VC dimension Support vector machine Structural risk minimization Shattered set Statistics Algebra Mathematics
57	Domain Adaptation and Sample Bias Correction Theory and Algorithm for Regression Add to Reading List Source URL: www.cs.nyu.edu Language: English - Date: 2013-06-21 12:47:29 Statistical theory Thermodynamics Supervised learning Non-parametric statistics Normal distribution Stability Empirical risk minimization Statistics Machine learning Kullback–Leibler divergence
58	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
59	PDF Document Add to Reading List Source URL: sifaka.cs.uiuc.edu Language: English - Date: 2008-03-06 12:06:06 Estimation theory Econometrics Kullback–Leibler divergence Thermodynamics Loss function Word-sense disambiguation Supervised learning Empirical risk minimization Support vector machine Statistics Statistical theory Machine learning
60	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

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