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   1 quotes  07-January-2012 
A system of research planning and learning utilizing explanation-based learning, partial evaluation, experimentation, graphical knowledge acquisition, automatic abstraction, mixed-initiative planning, and case-based reasoning. [Free]


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   1 quotes  07-January-2012 
Selected FAQ lists from Usenet groups related to natural language processing.


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   1 quotes  07-January-2012 
Machine readable parts of NLP textbooks, NLP corpora and dictionaries, fonts, and software.


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   1 quotes  07-January-2012 
A shareware clone of Racter.


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   1 quotes  07-January-2012 
Statistical machine learning, text and natural language processing, information retrieval, information theory.


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 36 - Xing, Eric Browse Website open in new window
   
   1 quotes  07-January-2012 
Statistical learning, machine learning approaches to computational biology, pattern recognition and control.


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 37 - Caruana, Rich Browse Website open in new window
   
   1 quotes  07-January-2012 
Multitask learning.


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 38 - Blum, Avrim Browse Website open in new window
   
   1 quotes  07-January-2012 
Carnegie Mellon University. Interests include machine learning, approximation algorithms, on-line algorithms and planning systems. Online publications and talks.


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   1 quotes  07-January-2012 
Carnegie Mellon School of Computer Science. Phd Student. Intersection of computer science and game theory, computer science and economics, multiagent systems, automated negotiation and contracting.


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 40 - Airoldi, Edoardo Browse Website open in new window
   
   1 quotes  07-January-2012 
Carnegie Mellon. Euclidean, differential or algebraic geometrical intuitions underlying statistical models and algorithms. Discrete mathematics and sequential models. Applications to textual data, biological sequences, communication networks and privacy.


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