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» Strategies in Rigid-Variable Methods
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AI
1999
Springer
15 years 3 months ago
Introspective Multistrategy Learning: On the Construction of Learning Strategies
A central problem in multistrategy learning systems is the selection and sequencing of machine learning algorithms for particular situations. This is typically done by the system ...
Michael T. Cox, Ashwin Ram
IS
2002
15 years 3 months ago
Evaluation of concurrency control strategies for mixed soft real-time database systems
Previous research in real-time concurrency control mainly focuses on the schedulability guarantee of hard real-time transactions and the reducing of the miss rate of soft real-tim...
Kam-yiu Lam, Tei-Wei Kuo, Ben Kao, Tony S. H. Lee,...
142
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ICTAI
2010
IEEE
15 years 1 months ago
PKOPT: Faster k-Optimal Solution for DCOP by Improving Group Selection Strategy
A significant body of work in multiagent systems over more than two decades has focused on multi-agent coordination (1). Many challenges in multi-agent coordination can be modeled ...
Elnaz Bigdeli, Maryam Rahmaninia, Mohsen Afsharchi
ICCAD
2009
IEEE
133views Hardware» more  ICCAD 2009»
15 years 1 months ago
A parallel preconditioning strategy for efficient transistor-level circuit simulation
A parallel computing approach for large-scale SPICE-accurate circuit simulation is described that is based on a new preconditioned iterative solver. The preconditioner involves the...
Heidi Thornquist, Eric R. Keiter, Robert J. Hoekst...
ROBOCUP
2001
Springer
96views Robotics» more  ROBOCUP 2001»
15 years 8 months ago
Strategy Learning for a Team in Adversary Environments
Team strategy acquisition is one of the most important issues of multiagent systems, especially in an adversary environment. RoboCup has been providing such an environment for AI a...
Yasutake Takahashi, Takashi Tamura, Minoru Asada