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COLING
2008

113views Computational Linguistics» more COLING 2008»

13 years 9 months ago

Recent years have witnessed a growing interest in analogical learning for NLP applications. If the principle of analogical learning is quite simple, it does involve complex steps ...

Philippe Langlais, François Yvon

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28

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IFIP12
2008

183views Information Technology» more IFIP12 2008»

P-Prism: A Computationally Efficient Approach to Scaling up Classification Rule Induction

13 years 9 months ago

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Top Down Induction of Decision Trees (TDIDT) is the most commonly used method of constructing a model from a dataset in the form of classification rules to classify previously unse...

Frederic T. Stahl, Max A. Bramer, Mo Adda

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15

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AAAI
2004

81views Intelligent Agents» more AAAI 2004»

Scaling Up Reasoning about Actions Using Relational Database Technology

13 years 9 months ago

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Giuseppe De Giacomo, Toni Mancini

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13

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IAAI
2001

83views Artificial Intelligence» more IAAI 2001»

Scaling Up Context-Sensitive Text Correction

13 years 9 months ago

Download www.cs.cmu.edu

The main challenge in an effort to build a realistic system with context-sensitive inference capabilities, beyond accuracy, is scalability. This paper studies this problem in the ...

Andrew J. Carlson, Jeffrey Rosen, Dan Roth

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13

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ISMB
2003

67views Computational Biology» more ISMB 2003»

Scaling up accurate phylogenetic reconstruction from gene-order data

13 years 9 months ago