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ICPR
2004
IEEE
16 years 8 months ago
Large Scale Feature Selection Using Modified Random Mutation Hill Climbing
Feature selection is a critical component of many pattern recognition applications. There are two distinct mechanisms for feature selection, namely the wrapper method and the filt...
Anil K. Jain, Michael E. Farmer, Shweta Bapna
167
Voted
DAC
2002
ACM
16 years 8 months ago
Constraint-driven communication synthesis
Constraint-driven Communication Synthesis enables the automatic design of the communication architecture of a complex system from a library of pre-defined Intellectual Property (I...
Alessandro Pinto, Luca P. Carloni, Alberto L. Sang...
224
Voted
DAC
2003
ACM
16 years 8 months ago
Distributed sleep transistor network for power reduction
Sleep transistors are effective to reduce dynamic and leakage power. The cluster-based design was proposed to reduce the sleep transistor area by clustering gates to minimize the ...
Changbo Long, Lei He
220
Voted
ICML
2009
IEEE
16 years 8 months ago
Learning with structured sparsity
This paper investigates a new learning formulation called structured sparsity, which is a naturalextensionofthestandardsparsityconceptinstatisticallearningandcompressivesensing. B...
Junzhou Huang, Tong Zhang, Dimitris N. Metaxas
193
Voted
ICML
2009
IEEE
16 years 8 months ago
Predictive representations for policy gradient in POMDPs
We consider the problem of estimating the policy gradient in Partially Observable Markov Decision Processes (POMDPs) with a special class of policies that are based on Predictive ...
Abdeslam Boularias, Brahim Chaib-draa
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