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AAAI
2012
11 years 10 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
ATAL
2007
Springer
14 years 1 months ago
Using priorities to simplify behavior coordination
Real-world behavior-based robot control problems require the coordination of a large number of competing behaviors. However, coordination becomes increasingly difficult as the num...
Brent E. Eskridge, Dean F. Hougen
GECCO
2009
Springer
169views Optimization» more  GECCO 2009»
14 years 11 days ago
An ant based algorithm for task allocation in large-scale and dynamic multiagent scenarios
This paper addresses the problem of multiagent task allocation in extreme teams. An extreme team is composed by a large number of agents with overlapping functionality operating i...
Fernando dos Santos, Ana L. C. Bazzan
ATAL
2004
Springer
14 years 1 months ago
Effectiveness of Query Types and Policies for Preference Elicitation in Combinatorial Auctions
Combinatorial auctions, where agents can bid on bundles of items (resources, tasks, etc.), are desirable because the agents can express complementarity and substitutability among ...
Benoît Hudson, Tuomas Sandholm
IPPS
1997
IEEE
13 years 12 months ago
Optimal Scheduling for UET-UCT Generalized n-Dimensional Grid Task Graphs
The n-dimensional grid is one of the most representative patterns of data flow in parallel computation. The most frequently used scheduling models for grids is the unit execution ...
Theodore Andronikos, Nectarios Koziris, George K. ...