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» A General Greedy Approximation Algorithm with Applications
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NIPS
1998
14 years 11 months ago
Gradient Descent for General Reinforcement Learning
A simple learning rule is derived, the VAPS algorithm, which can be instantiated to generate a wide range of new reinforcementlearning algorithms. These algorithms solve a number ...
Leemon C. Baird III, Andrew W. Moore
SIGMETRICS
2010
ACM
197views Hardware» more  SIGMETRICS 2010»
15 years 2 months ago
Coloring spatial point processes with applications to peer discovery in large wireless networks
In this paper, we study distributed channel assignment in wireless networks with applications to peer discovery in ad hoc wireless networks. We model channel assignment as a color...
Jian Ni, R. Srikant, Xinzhou Wu
BICOB
2009
Springer
15 years 4 months ago
Generalized Binary Tanglegrams: Algorithms and Applications
Several applications require the joint display of two phylogenetic trees whose leaves are matched by inter-tree edges. This issue arises, for example, when comparing gene trees and...
Mukul S. Bansal, Wen-Chieh Chang 0002, Oliver Eule...
TIT
2010
171views Education» more  TIT 2010»
14 years 4 months ago
Analysis of orthogonal matching pursuit using the restricted isometry property
Orthogonal matching pursuit (OMP) is the canonical greedy algorithm for sparse approximation. In this paper we demonstrate that the restricted isometry property (RIP) can be used f...
Mark A. Davenport, Michael B. Wakin
DAC
2009
ACM
15 years 10 months ago
Provably good and practically efficient algorithms for CMP dummy fill
Abstract--To reduce chip-scale topography variation in Chemical Mechanical Polishing (CMP) process, dummy fill is widely used to improve the layout density uniformity. Previous res...
Chunyang Feng, Hai Zhou, Changhao Yan, Jun Tao, Xu...