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GECCO
2010
Springer
244views Optimization» more  GECCO 2010»
13 years 9 months ago
Implicit fitness and heterogeneous preferences in the genetic algorithm
This paper takes an economic approach to derive an evolutionary learning model based entirely on the endogenous employment of genetic operators in the service of self-interested a...
Justin T. H. Smith
BMCBI
2010
147views more  BMCBI 2010»
13 years 9 months ago
Learning biological network using mutual information and conditional independence
Background: Biological networks offer us a new way to investigate the interactions among different components and address the biological system as a whole. In this paper, a revers...
Dong-Chul Kim, Xiaoyu Wang, Chin-Rang Yang, Jean G...
IOR
2007
89views more  IOR 2007»
13 years 9 months ago
Fast, Fair, and Efficient Flows in Networks
Abstract. We study the problem of minimizing the maximum latency of flows in networks with congestion. We show that this problem is NP-hard, even when all arc latency functions ar...
José R. Correa, Andreas S. Schulz, Nicol&aa...
JMLR
2002
111views more  JMLR 2002»
13 years 9 months ago
The Learning-Curve Sampling Method Applied to Model-Based Clustering
We examine the learning-curve sampling method, an approach for applying machinelearning algorithms to large data sets. The approach is based on the observation that the computatio...
Christopher Meek, Bo Thiesson, David Heckerman
JGO
2008
101views more  JGO 2008»
13 years 9 months ago
Dynamic equilibria of group vaccination strategies in a heterogeneous population
Abstract In this paper we present an evolutionary variational inequality model of vaccination strategies games in a population with a known vaccine coverage profile over a certain ...
Monica-Gabriela Cojocaru