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Generalization error
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#	Item
1	A Comparison of Tight Generalization Error Bounds Matti K¨ a¨ ari¨ ainen Add to Reading List Source URL: hunch.net Language: English - Date: 2005-06-01 23:11:48
2	Margin-based Generalization Error Bounds for Threshold Decision Lists Martin Anthony Department of Mathematics and Centre for Discrete and Applicable Mathematics London School of Economics Add to Reading List Source URL: www.cdam.lse.ac.uk Language: English - Date: 2017-04-12 10:30:30
3	We show that any model trained by a stochastic gradient method with few iterations has vanishing generalization error. We prove this by showing the method is algorithmically stable in the sense of Bousquet and Elisseeff. Add to Reading List Source URL: mmds-data.org - Date: 2016-06-23 15:50:48
4	Generalization Error Bounds for the Logical Analysis of Data Martin Anthony Department of Mathematics, The London School of Economics and Political Science, Houghton Street, London WC2A2AE, U.K. Add to Reading List Source URL: www.maths.lse.ac.uk - Date: 2013-01-25 06:10:29
5	A Few Useful Things to Know about Machine Learning Pedro Domingos Department of Computer Science and Engineering University of Washington Seattle, WA, U.S.A. Add to Reading List Source URL: homes.cs.washington.edu Language: English - Date: 2015-08-13 22:08:12 Machine learning Artificial intelligence Statistical classification Learning Ensemble learning Cybernetics Boosting Support vector machine Linear classifier Naive Bayes classifier Online machine learning Generalization error
6	Optimal Gradient-Based Learning Using Importance Weights Sepp Hochreiter and Klaus Obermayer Bernstein Center for Computational Neuroscience and Technische Universit¨at Berlin Add to Reading List Source URL: www.bioinf.jku.at Language: English - Date: 2013-01-23 02:39:45 Artificial neural networks Artificial intelligence Learning Applied mathematics Recurrent neural network Long short-term memory Sepp Hochreiter Backpropagation Vanishing gradient problem Supervised learning Support vector machine Generalization error
7	Cross-validation for binary classification by real-valued functions: theoretical analysis Martin Anthony Department of Mathematics London School of Economics Houghton Street Add to Reading List Source URL: www.maths.lse.ac.uk Language: English - Date: 2000-04-03 14:24:41 Machine learning Learning Statistics Cross-validation Probably approximately correct learning Degrees of freedom Cognition Stability Generalization error
8	Towards Anytime Active Learning: Interrupting Experts to Reduce Annotation Costs Maria E. Ramirez-Loaiza Aron Culotta Add to Reading List Source URL: poloclub.gatech.edu Language: English - Date: 2013-07-08 06:03:55 Machine learning Statistical classification Artificial intelligence Learning Support vector machine Pattern recognition Supervised learning Linear classifier Naive Bayes classifier Generalization error Document classification
9	Machine learning techniques available in pRoloc Laurent Gatto∗ June 14, 2016 Contents 1 Introduction Add to Reading List Source URL: www.bioconductor.org Language: English - Date: 2016-06-14 23:40:44 Statistical classification Machine learning Cognition Cognitive science K-nearest neighbors algorithm Support vector machine Supervised learning Information Generalization error Naive Bayes classifier
10	Semi-Supervised Learning with Adversarially Missing Label Information Umar Syed Ben Taskar Department of Computer and Information Science Add to Reading List Source URL: www.seas.upenn.edu Language: English - Date: 2010-11-04 10:51:45 Machine learning Manifold regularization Semi-supervised learning Supervised learning Stability Pattern recognition Support vector machine Linear classifier Multiple instance learning Loss function Statistical learning theory Generalization error