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ML
2007
ACM
104views Machine Learning» more  ML 2007»
15 years 3 months ago
A general criterion and an algorithmic framework for learning in multi-agent systems
We offer a new formal criterion for agent-centric learning in multi-agent systems, that is, learning that maximizes one’s rewards in the presence of other agents who might also...
Rob Powers, Yoav Shoham, Thuc Vu
TIP
2008
185views more  TIP 2008»
15 years 3 months ago
Active Learning Methods for Interactive Image Retrieval
Active learning methods have been considered with increased interest in the statistical learning community. Initially developed within a classification framework, a lot of extensio...
Philippe Henri Gosselin, Matthieu Cord
CARDIS
2010
Springer
168views Hardware» more  CARDIS 2010»
15 years 10 months ago
Secure Delegation of Elliptic-Curve Pairing
In this paper we describe a simple protocol for secure delegation of the elliptic-curve pairing. A computationally limited device (typically a smart-card) will delegate the computa...
Benoît Chevallier-Mames, Jean-Sébasti...
AAMAS
2002
Springer
15 years 3 months ago
Adapting Populations of Agents
We control a population of interacting software agents. The agents have a strategy, and receive a payoff for executing that strategy. Unsuccessful agents become extinct. We investi...
Philippe De Wilde, Maria Chli, Luís Correia...
HIS
2007
15 years 5 months ago
Pareto-based Multi-Objective Machine Learning
—Machine learning is inherently a multiobjective task. Traditionally, however, either only one of the objectives is adopted as the cost function or multiple objectives are aggreg...
Yaochu Jin