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Kearns
Results: 222

#	Item
31	Learning from Multiple Sources Koby Crammer, Michael Kearns, Jennifer Wortman Department of Computer and Information Science University of Pennsylvania Philadelphia, PA 19104 Add to Reading List Source URL: www.jennwv.com Language: English - Date: 2013-08-25 22:35:26
32	Learning from Collective Behavior Michael Kearns Computer and Information Science University of Pennsylvania Add to Reading List Source URL: www.jennwv.com Language: English - Date: 2013-08-25 22:35:26
33	Learning from Data of Variable Quality Koby Crammer, Michael Kearns, Jennifer Wortman Computer and Information Science University of Pennsylvania Philadelphia, PA 19103 Add to Reading List Source URL: www.jennwv.com Language: English - Date: 2013-08-25 22:35:26
34	Sponsored Search with Contexts Eyal Even-Dar, Michael Kearns, and Jennifer Wortman Department of Computer and Information Science University of Pennsylvania Philadelphia, PA 19104 Add to Reading List Source URL: www.jennwv.com Language: English - Date: 2013-08-25 22:35:26
35	Risk-Sensitive Online Learning Eyal Even-Dar, Michael Kearns, and Jennifer Wortman Department of Computer and Information Science University of Pennsylvania, Philadelphia, PAAbstract. We consider the problem of o Add to Reading List Source URL: www.jennwv.com Language: English - Date: 2013-08-25 22:35:26
36	Efficient Noise-Tolerant Learning from Statistical Queries MICHAEL KEARNS AT&T Laboratories—Research, Florham Park, New Jersey Abstract. In this paper, we study the problem of learning in the presence of classificatio Add to Reading List Source URL: homepages.math.uic.edu Language: English - Date: 2014-10-15 12:44:32
37	Learning To Pick Up a Novel Object Chioma Osondu and Justin Kearns 1. Abstract In order for an autonomous robot to successfully Add to Reading List Source URL: cs229.stanford.edu Language: English - Date: 2011-09-14 20:33:03
38	Microsoft Word - FLSA Basics-Kearns 2005.doc Add to Reading List Source URL: www.americanbar.org Language: English - Date: 2013-03-21 13:59:15
39	Algorithmic Stability and Sanity-Check Bounds for Leave-One-Out Cross-Validation Michael Kearns AT&T Labs Research Murray Hill, New Jersey Add to Reading List Source URL: www.cis.upenn.edu Language: English - Date: 2001-02-22 11:56:39
40	Approximate Planning in Large POMDPs via Reusable Trajectories Michael Kearns AT&T Labs Add to Reading List Source URL: www.cis.upenn.edu Language: English - Date: 2001-02-22 12:01:04