38 search results - page 2 / 8 » Learning and exploiting knowledge in multi-agent task alloca... |
AIIA
2005
Springer
13 years 10 months ago
2005
Springer
Abstract. Improving accuracy in Information Retrieval tasks via semantic information is a complex problem characterized by three main aspects: the document representation model, th...
AAAI
2008
13 years 7 months ago
2008
This paper examines, by argument, the dynamics of sequences of behavioural choices made, when non-cooperative restricted-memory agents learn in partially observable stochastic gam...
AAAI
2006
13 years 6 months ago
2006
We use game theory to analyze meta-learning algorithms. The objective of meta-learning is to determine which algorithm to apply on a given task. This is an instance of a more gene...
CORR
2002
Springer
13 years 5 months ago
2002
Springer
Recommender systems learn about user preferences over time, automatically finding things of similar interest. This reduces the burden of creating explicit queries. Recommender sys...
ICML
2003
IEEE
14 years 6 months ago
2003
IEEE
In the task of adaptive information filtering, a system receives a stream of documents but delivers only those that match a person's information need. As the system filters i...