3449 search results - page 202 / 690 » A Framework for Multiple-Instance Learning |
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MA
1999
Springer
15 years 7 months ago
1999
Springer
In order to maintain their performance in a dynamic environment, agents may be required to modify their learning behavior during run-time. If an agent utilizes a rule-based system...
126
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ARGMAS
2006
Springer
15 years 7 months ago
2006
Springer
Multiagent learning can be seen as applying ML techniques to the core issues of multiagent systems, like communication, coordination, and competition. In this paper, we address the...
114
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ECML
2006
Springer
15 years 7 months ago
2006
Springer
The standard approach for learning Markov Models with Hidden State uses the Expectation-Maximization framework. While this approach had a significant impact on several practical ap...
148
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ATAL
2008
Springer
15 years 5 months ago
2008
Springer
The problem of coalition formation when agents are uncertain about the types or capabilities of their potential partners is a critical one. In [3] a Bayesian reinforcement learnin...
113
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ALT
2002
Springer
16 years 17 days ago
2002
Springer
In this paper we study the question of whether identifiable classes have subclasses which are identifiable under a more restrictive criterion. The chosen framework is inductive ...