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» Multiagent learning using a variable learning rate
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ATAL
2008
Springer
15 years 6 months ago
Norm emergence under constrained interactions in diverse societies
Effective norms, emerging from sustained individual interactions over time, can complement societal rules and significantly enhance performance of individual agents and agent soci...
Partha Mukherjee, Sandip Sen, Stéphane Airi...
149
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ECCV
2010
Springer
15 years 5 months ago
MIForests: Multiple-Instance Learning with Randomized Trees
Abstract. Multiple-instance learning (MIL) allows for training classifiers from ambiguously labeled data. In computer vision, this learning paradigm has been recently used in many ...
Christian Leistner, Amir Saffari, Horst Bischof
CVPR
2010
IEEE
16 years 1 months ago
Online-Batch Strongly Convex Multi Kernel Learning
Several object categorization algorithms use kernel methods over multiple cues, as they offer a principled approach to combine multiple cues, and to obtain state-of-theart perform...
Francesco Orabona, Jie Luo, Barbara Caputo
AAMAS
2005
Springer
15 years 10 months ago
Towards Time Management Adaptability in Multi-agent Systems
Abstract. So far, the main focus of research on adaptability in multiagent systems (MASs) has been on the agents’ behavior, for example on developing new learning techniques and ...
Alexander Helleboogh, Tom Holvoet, Danny Weyns, Yo...
CIA
2007
Springer
15 years 11 months ago
Quantifying the Expected Utility of Information in Multi-agent Scheduling Tasks
Abstract. In this paper we investigate methods for analyzing the expected value of adding information in distributed task scheduling problems. As scheduling problems are NP-complet...
Avi Rosenfeld, Sarit Kraus, Charlie Ortiz