5860 search results - page 42 / 1172 » Learning and Domain Adaptation |
130
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ICALT
2006
IEEE
15 years 8 months ago
2006
IEEE
This position paper shows how several classical methods in adaptive learning can be addressed using IMS Learning Design. After a definition of four main questions to classify adap...
ACL
2007
15 years 3 months ago
2007
Domain adaptation is an important problem in natural language processing (NLP) due to the lack of labeled data in novel domains. In this paper, we study the domain adaptation prob...
113
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AAMAS
2005
Springer
15 years 1 months ago
2005
Springer
Agents in a competitive interaction can greatly benefit from adapting to a particular adversary, rather than using the same general strategy against all opponents. One method of s...
107
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GECCO
2004
Springer
15 years 7 months ago
2004
Springer
In this paper, we compare the performance of hierarchical GP methods (Automatically Defined Functions, Module Acquisition, Adaptive Representation through Learning) with the canon...
111
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ICML
2009
IEEE
16 years 2 months ago
2009
IEEE
Reinforcement Learning methods for controlling stochastic processes typically assume a small and discrete action space. While continuous action spaces are quite common in real-wor...