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150
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ICMLA
2009
15 years 2 months ago
2009
Abstract--Feature selection is an important challenge in machine learning. Unfortunately, most methods for automating feature selection are designed for supervised learning tasks a...
132
Voted
ICML
2009
IEEE
16 years 5 months ago
2009
IEEE
We cast model-free reinforcement learning as the problem of maximizing the likelihood of a probabilistic mixture model via sampling, addressing both the infinite and finite horizo...
174
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SEMCO
2007
IEEE
15 years 11 months ago
2007
IEEE
Knowledge-based natural language processing systems learn by reading, i.e., they process texts to extract knowledge. The performance of these systems crucially depends on knowledg...
187
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AH
2000
Springer
15 years 9 months ago
2000
Springer
The paper investigates the use of computational intelligence for adaptive lesson presentation in a Web-based learning environment. A specialized connectionist architecture is devel...
122
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NLPRS
2001
Springer
15 years 9 months ago
2001
Springer
WeproposeanewapproachtoEMlearning of PCFGs. We completely separate the process of EM learning from that of parsing, andfor theformer, weintroduce a new EM algorithm called the gra...