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ATAL
2010
Springer
15 years 23 days ago
Learning multi-agent state space representations
This paper describes an algorithm, called CQ-learning, which learns to adapt the state representation for multi-agent systems in order to coordinate with other agents. We propose ...
Yann-Michaël De Hauwere, Peter Vrancx, Ann No...
119
Voted
JSAT
2006
134views more  JSAT 2006»
14 years 11 months ago
Pueblo: A Hybrid Pseudo-Boolean SAT Solver
This paper introduces a new hybrid method for efficiently integrating Pseudo-Boolean (PB) constraints into generic SAT solvers in order to solve PB satisfiability and optimization...
Hossein M. Sheini, Karem A. Sakallah
IPMI
2007
Springer
16 years 15 days ago
Shape Regression Machine
Abstract. We present a machine learning approach called shape regression machine (SRM) to segmenting in real time an anatomic structure that manifests a deformable shape in a medic...
Shaohua Kevin Zhou, Dorin Comaniciu
VLSID
2002
IEEE
160views VLSI» more  VLSID 2002»
16 years 1 days ago
An Efficient Hierarchical Timing-Driven Steiner Tree Algorithm for Global Routing
In this paper, we propose a hierarchical timing-driven Steiner tree algorithm for global routing which considers the minimization of timing delay during the tree construction as t...
Jingyu Xu, Xianlong Hong, Tong Jing, Yici Cai, Jun...
108
Voted
ARC
2009
Springer
175views Hardware» more  ARC 2009»
15 years 6 months ago
A Hardware Accelerated Simulation Environment for Spiking Neural Networks
Spiking Neural Networks (SNNs) model the biological functions of the human brain enabling neuro/computer scientists to investigate how arrays of neurons can be used to solve comput...
Brendan P. Glackin, Jim Harkin, T. Martin McGinnit...