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1515
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A Theory of the Learnable
– L. G. Valiant
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605
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Learning quickly when irrelevant attributes abound: A new linear-threshold algorithm
– Nick Littlestone
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28
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Relational Learning for NLP using Linear Threshold Elements
– Roni Khardon, Dan Roth, Leslie G. Valiant
- 1999
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565
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Learnability and the Vapnik Chervonenkis dimension
– Anselm Blumer, Andrzej Ehrenfeucht, David Haussler, Manfred K Warmuth
- 1989
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59
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A Winnow based approach to context-sensitive spelling correction
– A R Golding, D Roth
- 1999
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507
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An Introduction to Computational Learning Theory
– M Kearns, U Vazirani
- 1994
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154
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Learning to Resolve Natural Language Ambiguities: A Unified Approach
– Dan Roth
- 1998
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408
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Inductive Logic Programming: Theory and Methods
– Stephen Muggleton, Luc De Raedt
- 1994
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53
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Learning to reason
– Roni Khardon, Dan Roth
- 1994
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180
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A General Lower Bound on the Number of Examples Needed
– A Ehrenfeucht, D Haussler, M Kearns, L Valiant
- 1989
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8
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Knowledge infusion
– L G VALIANT
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57
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A Learning Approach to Shallow Parsing
– Marcia Muñoz , Vasin Punyakanok, Dan Roth, Day Zimak
- 1999
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293
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Programs with Common Sense
– John McCarthy
- 1968
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45
|
Part of Speech Tagging Using a Network of Linear Separators
– Dan Roth, Dmitry Zelenko
- 1998
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70
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PAC-Learnability of Determinate Logic Programs
– Saso Dzeroski , Stephen Muggleton, Stuart Russell
- 1992
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34
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Pac-learning Recursive Logic Programs: Negative Results
– William W. Cohen
- 1995
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34
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Pac-Learning Recursive Logic Programs: Efficient Algorithms
– William W. Cohen
- 1995
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32
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A neuroidal architecture for cognitive computation
– Leslie G. Valiant
- 2000
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21
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Relational Representations that Facilitate Learning
– Chad Cumby, Dan Roth
- 2000
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