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» Solving iterated functions using genetic programming
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133
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GECCO
2007
Springer
183views Optimization» more  GECCO 2007»
15 years 10 months ago
Distribution replacement: how survival of the worst can out perform survival of the fittest
A new family of "Distribution Replacement” operators for use in steady state genetic algorithms is presented. Distribution replacement enforces the members of the populatio...
Howard Tripp, Phil Palmer
120
Voted
ESANN
2007
15 years 5 months ago
Model Selection for Kernel Probit Regression
Abstract. The convex optimisation problem involved in fitting a kernel probit regression (KPR) model can be solved efficiently via an iteratively re-weighted least-squares (IRWLS)...
Gavin C. Cawley
WWW
2009
ACM
16 years 4 months ago
Discovering the staring people from social networks
In this paper, we study a novel problem of staring people discovery from social networks, which is concerned with finding people who are not only authoritative but also sociable i...
Dewei Chen, Jie Tang, Juanzi Li, Lizhu Zhou
SIAMJO
2008
93views more  SIAMJO 2008»
15 years 3 months ago
Smooth Optimization with Approximate Gradient
We show that the optimal complexity of Nesterov's smooth first-order optimization algorithm is preserved when the gradient is only computed up to a small, uniformly bounded er...
Alexandre d'Aspremont
144
Voted
TSE
2010
148views more  TSE 2010»
15 years 2 months ago
Program Behavior Discovery and Verification: A Graph Grammar Approach
—Discovering program behaviors and functionalities can ease program comprehension and verification. Existing program analysis approaches have used text mining algorithms to infer...
Chunying Zhao, Jun Kong, Kang Zhang