Linear Concepts and Hidden Variables (2000)

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by Adam J. Grove , Dan Roth
Citations:21 - 15 self

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169 Learning to resolve natural language ambiguities: A unified approach – Dan Roth - 1998
22 Learning to recognize 3D objects with SNoW – Ming-hsuan Yang, Dan Roth, Narendra Ahuja - 2000
3 View-based 3d object recognition using SNoW – Ming-hsuan Yang, Narendra Ahuja, Dan Roth - 2000
8 Learning to Recognize 3D Objects – Dan Roth, Ming-hsuan Yang, Narendra Ahuja - 2000
INTERACTIVE LEARNING PROTOCOLS FOR NATURAL LANGUAGE APPLICATIONS – Kevin Small - 2009
1 Learning with Kernel Machine Architectures – Theodoros Evgeniou, Tomaso Poggio, Helen Whitaker, Professor Brain, Cognitive Sciences, Arthur C. Smith - 2000
1 Linear concepts and hidden variables: An empirical study – Adam Grove, Dan Roth - 1998
A SURVEY OF TEXT CLASSIFICATION ALGORITHMS – Charu C. Aggarwal, Chengxiang Zhai
4 Mining Text Data – Charu C. Aggarwal, Chengxiang Zhai (eds.)
21 SNoW User Guide – Andrew J. Carlson, Chad M. Cumby, Jeff L. Rosen, Dan Roth - 1999
121 A SNoW-Based Face Detector – Ming-hsuan Yang, Dan Roth, Narendra Ahuja - 2000
!()+, -./01 23456 – Department Of Computer, David P. Dobkin, Dimitrios Gunopulos, Wolfgang Maass, Technische Universitaet Graz - 1995
42 Learning in natural language – Dan Roth - 1999
Pattern Classification via. . . – Nicholas James Palmer - 2008
18 Probabilistic Analysis of Learning in Artificial Neural Networks: The PAC Model and its Variants – Martin Anthony - 1997
3 Toward a Theory of Learning Coherent Concepts – Dan Roth, Dmitry Zelenko - 2000
4 Algorithmic Theories of Learning – Rosa Arriaga, Santosh Vempala - 1999
86 A Winnow-Based Approach to Context-Sensitive Spelling Correction – Andrew R. Golding, Dan Roth, J. Mooney, Claire Cardie - 1999
3 Improving on-line learning – Christian Mesterharm, Dr. Haym Hirsh, Jon Christian Mesterharm, Dissertation Director, Dr. Haym Hirsh - 2007