4817 search results - page 441 / 964 » Learning Models of Intelligent Agents |
155
Voted
AAAI
1998
15 years 6 months ago
1998
Reinforcement learning is an effective technique for learning action policies in discrete stochastic environments, but its efficiency can decay exponentially with the size of the ...
152
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AAAI
1996
15 years 6 months ago
1996
This paper presents recent work using the Chill parser acquisition system to automate the construction of a natural-language interface for database queries. Chill treats parser ac...
157
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AAAI
2010
15 years 2 months ago
2010
Multi-instance learning, as other machine learning tasks, also suffers from the curse of dimensionality. Although dimensionality reduction methods have been investigated for many ...
146
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ATAL
2009
Springer
15 years 2 months ago
2009
Springer
In this paper we use a reinforcement learning algorithm with the aim to increase the autonomous lifetime of a Wireless Sensor Network (WSN) and decrease latency in a decentralized...
143
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AAAI
2011
14 years 4 months ago
2011
We propose a fast batch learning method for linearchain Conditional Random Fields (CRFs) based on Newton-CG methods. Newton-CG methods are a variant of Newton method for high-dime...