4345 search results - page 377 / 869 » Relational Reinforcement Learning |
172
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AAAI
2007
15 years 9 months ago
2007
The authors present TWIG, a visually grounded wordlearning system that uses its existing knowledge of vocabulary, grammar, and action schemas to help it learn the meanings of new ...
159
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IJCAI
2001
15 years 8 months ago
2001
We study the application of Hidden Markov Models (HMMs) to learning information extractors for
181
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JAIR
2010
15 years 5 months ago
2010
Domain-specific features are important in representing problem structure throughout machine learning and decision-theoretic planning. In planning, once state features are provide...
156
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ICPR
2010
IEEE
15 years 11 months ago
2010
IEEE
Anomaly detection has received much attention within the literature as a means of determining, in an unsupervised manner, whether a learning domain has changed in a fundamental way...
205
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MIR
2005
ACM
16 years 12 days ago
2005
ACM
Concept drifting is an important and challenging research issue in the field of machine learning. This paper mainly addresses the issue of semantic concept drifting in time series...