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» Extremal Problems of Information Combining
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AAAI
2008
14 years 12 months ago
Perpetual Learning for Non-Cooperative Multiple Agents
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...
Luke Dickens
94
Voted
ATAL
2008
Springer
14 years 11 months ago
Multi-agent plan diagnosis and negotiated repair
In the complex, dynamic domain of Air Traffic Control (ATC) many unexpected events can happen during the execution of a plan. Sometimes these disruptions make the plan infeasible ...
Huib Aldewereld, Pieter Buzing, Geert Jonker
69
Voted
DAGSTUHL
2007
14 years 11 months ago
Note on parallel universes
The parallel universes idea is an attempt to integrate several aspects of learning which share some common aspects. This is an interesting idea: if successful, insights could cross...
Niall M. Adams, David J. Hand
SDM
2008
SIAM
144views Data Mining» more  SDM 2008»
14 years 11 months ago
Semi-supervised Multi-label Learning by Solving a Sylvester Equation
Multi-label learning refers to the problems where an instance can be assigned to more than one category. In this paper, we present a novel Semi-supervised algorithm for Multi-labe...
Gang Chen, Yangqiu Song, Fei Wang, Changshui Zhang
AIPS
2003
14 years 11 months ago
A Multi-Agent System-driven AI Planning Approach to Biological Pathway Discovery
As genomic and proteomic data is collected from highthroughput methods on a daily basis, subcellular components are identified and their in vitro behavior is characterized. Howev...
Salim Khan, William Gillis, Carl Schmidt, Keith De...