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GECCO
2007
Springer
174views Optimization» more  GECCO 2007»
16 years 29 days ago
Heuristic speciation for evolving neural network ensemble
Speciation is an important concept in evolutionary computation. It refers to an enhancements of evolutionary algorithms to generate a set of diverse solutions. The concept is stud...
Shin Ando
GECCO
2008
Springer
172views Optimization» more  GECCO 2008»
15 years 7 months ago
Empirical analysis of a genetic algorithm-based stress test technique
Evolutionary testing denotes the use of evolutionary algorithms, e.g., Genetic Algorithms (GAs), to support various test automation tasks. Since evolutionary algorithms are heuris...
Vahid Garousi
CORR
2009
Springer
114views Education» more  CORR 2009»
15 years 4 months ago
Distributed Branching Bisimulation Minimization by Inductive Signatures
We present a new distributed algorithm for state space minimization modulo branching bisimulation. Like its predecessor it uses signatures for refinement, but the refinement proce...
Stefan Blom, Jaco van de Pol
TCOM
2010
83views more  TCOM 2010»
15 years 1 months ago
Global and Fast Receiver Antenna Selection for MIMO Systems
Abstract--For a multiple-input multiple-output (MIMO) system with more antennas at the receiver than the transmitter, selecting the same number of receiver antennas as the number o...
Bu Hong Wang, Hon Tat Hui, Mook Seng Leong
ICML
2009
IEEE
16 years 7 months ago
Proximal regularization for online and batch learning
Many learning algorithms rely on the curvature (in particular, strong convexity) of regularized objective functions to provide good theoretical performance guarantees. In practice...
Chuong B. Do, Quoc V. Le, Chuan-Sheng Foo