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GECCO
2008
Springer
133views Optimization» more  GECCO 2008»
13 years 9 months ago
Using feature-based fitness evaluation in symbolic regression with added noise
Symbolic regression is a popular genetic programming (GP) application. Typically, the fitness function for this task is based on a sum-of-errors, involving the values of the depe...
Janine H. Imada, Brian J. Ross
GECCO
2008
Springer
168views Optimization» more  GECCO 2008»
13 years 9 months ago
Parameterizing pair approximations for takeover dynamics
Pair approximations have often been used to predict equilibrium conditions in spatially-explicit epidemiological and ecological systems. In this work, we investigate whether this ...
Joshua L. Payne, Margaret J. Eppstein
PR
2008
85views more  PR 2008»
13 years 8 months ago
Quadratic boosting
This paper presents a strategy to improve the AdaBoost algorithm with a quadratic combination of base classifiers. We observe that learning this combination is necessary to get be...
Thang V. Pham, Arnold W. M. Smeulders
PE
2002
Springer
137views Optimization» more  PE 2002»
13 years 7 months ago
Analysis of two competing TCP/IP connections
Many mathematical models exist for describing the behavior of TCP/IP (TCP: transmission control protocol) under an exogenous loss process that does not depend on the window size. ...
Eitan Altman, Tania Jiménez, R. Nú&n...
SAB
2010
Springer
117views Optimization» more  SAB 2010»
13 years 6 months ago
Indirectly Encoding Neural Plasticity as a Pattern of Local Rules
Biological brains can adapt and learn from past experience. In neuroevolution, i.e. evolving artificial neural networks (ANNs), one way that agents controlled by ANNs can evolve t...
Sebastian Risi, Kenneth O. Stanley