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GECCO
2009
Springer
188views Optimization» more  GECCO 2009»
15 years 1 months ago
Exploiting multiple classifier types with active learning
Many approaches to active learning involve training one classifier by periodically choosing new data points about which the classifier has the least confidence, but designing a co...
Zhenyu Lu, Josh Bongard
CVPR
2010
IEEE
15 years 6 months ago
Learning Shift-Invariant Sparse Representation of Actions
A central problem in the analysis of motion capture (Mo- Cap) data is how to decompose motion sequences into primitives. Ideally, a description in terms of primitives should fac...
Yi Li
SECON
2010
IEEE
14 years 7 months ago
Transmission Scheduling for Routing Paths in Cognitive Radio Mesh Networks
Nodes in a cognitive radio mesh network may select from a set of available channels to use provided they do not interfere with primary users. This ability can improve overall netwo...
Brendan Mumey, Xia Zhao, Jian Tang, Richard S. Wol...
CATA
2003
14 years 11 months ago
A Genetic Algorithm Approach to Static Task Scheduling in a Reconfigurable Hardware Environment
This paper presents a basic framework for applying static task scheduling techniques to arbitrarily-structured task systems whose targeted execution environment is comprised of fi...
Sin Ming Loo, B. Earl Wells, J. D. Winningham
BIOINFORMATICS
2006
106views more  BIOINFORMATICS 2006»
14 years 10 months ago
Identification of biochemical networks by S-tree based genetic programming
Motivation: Most previous approaches to model biochemical networks havefocusedeither on the characterization of a networkstructurewith a number of components or on the estimation ...
Dong-Yeon Cho, Kwang-Hyun Cho, Byoung-Tak Zhang