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» Evolving Artificial Neural Networks that Develop in Time
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EVOW
2010
Springer
15 years 4 months ago
Grammatical Evolution Decision Trees for Detecting Gene-Gene Interactions
DEODHAR, SUSHAMNA DEODHAR. Using Grammatical Evolution Decision Trees for Detecting Gene-Gene Interactions in Genetic Epidemiology. (Under the direction of Dr. Alison Motsinger-Re...
Sushamna Deodhar, Alison A. Motsinger-Reif
IJCNN
2008
IEEE
15 years 4 months ago
Two-level clustering approach to training data instance selection: A case study for the steel industry
— Nowadays, huge amounts of information from different industrial processes are stored into databases and companies can improve their production efficiency by mining some new kn...
Heli Koskimäki, Ilmari Juutilainen, Perttu La...
GECCO
2007
Springer
177views Optimization» more  GECCO 2007»
15 years 3 months ago
Takeover times on scale-free topologies
The topological properties of a network directly impact the flow of information through a system. In evolving populations, the topology of inter-individual interactions affects th...
Joshua L. Payne, Margaret J. Eppstein
KDD
2002
ACM
171views Data Mining» more  KDD 2002»
15 years 10 months ago
Mining complex models from arbitrarily large databases in constant time
In this paper we propose a scaling-up method that is applicable to essentially any induction algorithm based on discrete search. The result of applying the method to an algorithm ...
Geoff Hulten, Pedro Domingos
NIPS
1993
14 years 11 months ago
Using Local Trajectory Optimizers to Speed Up Global Optimization in Dynamic Programming
Dynamic programming provides a methodology to develop planners and controllers for nonlinear systems. However, general dynamic programming is computationally intractable. We have ...
Christopher G. Atkeson