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AAAI
1992
15 years 5 months ago
Learning to Disambiguate Relative Pronouns
In this paper we show how a natural language system can learn to find the antecedents of relative pronouns. We use a well-known conceptual clustering system to create a case-based...
Claire Cardie
AAAI
2012
13 years 6 months ago
Multi-Label Learning by Exploiting Label Correlations Locally
It is well known that exploiting label correlations is important for multi-label learning. Existing approaches typically exploit label correlations globally, by assuming that the ...
Sheng-Jun Huang, Zhi-Hua Zhou
ESAW
2004
Springer
15 years 9 months ago
Cooperative Agent Model Instantiation to Collective Robotics
The general aim of our work is to provide tools, methods and models to adaptive multi-agent systems designers. These systems consist in several interacting agents and have to optim...
Gauthier Picard
136
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MABS
2004
Springer
15 years 9 months ago
Agent-Based Modelling of Forces in Crowds
Recent events have highlighted the importance of good models of crowds, however many existing crowd models are either computationally inefficient, or are missing a crucial human be...
Colin Marc Henein, Tony White
CI
2002
92views more  CI 2002»
15 years 3 months ago
Model Selection in an Information Economy: Choosing What to Learn
As online markets for the exchange of goods and services become more common, the study of markets composed at least in part of autonomous agents has taken on increasing importance...
Christopher H. Brooks, Robert S. Gazzale, Rajarshi...