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ICDM
2007
IEEE
132views Data Mining» more  ICDM 2007»
15 years 11 months ago
Learning What Makes a Society Tick
We present a machine learning methodology (models, algorithms, and experimental data) to discovering the agent dynamics that drive the evolution of the social groups in a communit...
Hung-Ching Chen, Mark K. Goldberg, Malik Magdon-Is...
171
Voted
GECCO
2010
Springer
129views Optimization» more  GECCO 2010»
15 years 9 months ago
A probabilistic functional crossover operator for genetic programming
The original mechanism by which evolutionary algorithms were to solve problems was to allow for the gradual discovery of sub-solutions to sub-problems, and the automated combinati...
Josh C. Bongard
139
Voted
APPROX
2006
Springer
120views Algorithms» more  APPROX 2006»
15 years 8 months ago
Single-Source Stochastic Routing
Abstract. We introduce and study the following model for routing uncertain demands through a network. We are given a capacitated multicommodity flow network with a single source an...
Shuchi Chawla, Tim Roughgarden
GECCO
2006
Springer
175views Optimization» more  GECCO 2006»
15 years 8 months ago
A computational theory of adaptive behavior based on an evolutionary reinforcement mechanism
Two mathematical and two computational theories from the field of human and animal learning are combined to produce a more general theory of adaptive behavior. The cornerstone of ...
J. J. McDowell, Paul L. Soto, Jesse Dallery, Saule...
GECCO
2006
Springer
202views Optimization» more  GECCO 2006»
15 years 8 months ago
Inference of genetic networks using S-system: information criteria for model selection
In this paper we present an evolutionary approach for inferring the structure and dynamics in gene circuits from observed expression kinetics. For representing the regulatory inte...
Nasimul Noman, Hitoshi Iba