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» Learning Recursive Control Programs from Problem Solving
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KDD
2008
ACM
181views Data Mining» more  KDD 2008»
14 years 7 months ago
Learning subspace kernels for classification
Kernel methods have been applied successfully in many data mining tasks. Subspace kernel learning was recently proposed to discover an effective low-dimensional subspace of a kern...
Jianhui Chen, Shuiwang Ji, Betul Ceran, Qi Li, Min...
AAMAS
2005
Springer
13 years 7 months ago
Cooperative Multi-Agent Learning: The State of the Art
Cooperative multi-agent systems are ones in which several agents attempt, through their interaction, to jointly solve tasks or to maximize utility. Due to the interactions among t...
Liviu Panait, Sean Luke
CDC
2009
IEEE
134views Control Systems» more  CDC 2009»
14 years 3 days ago
Event-based control using quadratic approximate value functions
Abstract— In this paper we consider several problems involving control with limited actuation and sampling rates. Event-based control has emerged as an attractive approach for ad...
Randy Cogill
SPIN
2010
Springer
13 years 5 months ago
Analysing Mu-Calculus Properties of Pushdown Systems
Pushdown systems provide a natural model of software with recursive procedure calls. We provide a tool implementing an algorithm for computing the winning regions of a pushdown par...
Matthew Hague, C.-H. Luke Ong
IEEEPACT
2005
IEEE
14 years 1 months ago
A Distributed Control Path Architecture for VLIW Processors
VLIW architectures are popular in embedded systems because they offer high-performance processing at low cost and energy. The major problem with traditional VLIW designs is that t...
Hongtao Zhong, Kevin Fan, Scott A. Mahlke, Michael...