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» Function Optimization with Coevolutionary Algorithms
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ECAL
2005
Springer
15 years 7 months ago
The Quantitative Law of Effect is a Robust Emergent Property of an Evolutionary Algorithm for Reinforcement Learning
An evolutionary reinforcement-learning algorithm, the operation of which was not associated with an optimality condition, was instantiated in an artificial organism. The algorithm ...
J. J. McDowell, Zahra Ansari
119
Voted
GECCO
2005
Springer
158views Optimization» more  GECCO 2005»
15 years 7 months ago
Constructive induction and genetic algorithms for learning concepts with complex interaction
Constructive Induction is the process of transforming the original representation of hard concepts with complex interaction into a representation that highlights regularities. Mos...
Leila Shila Shafti, Eduardo Pérez
PODS
2008
ACM
159views Database» more  PODS 2008»
16 years 2 months ago
Approximation algorithms for clustering uncertain data
There is an increasing quantity of data with uncertainty arising from applications such as sensor network measurements, record linkage, and as output of mining algorithms. This un...
Graham Cormode, Andrew McGregor
137
Voted
JCSS
2008
138views more  JCSS 2008»
15 years 1 months ago
Reducing mechanism design to algorithm design via machine learning
We use techniques from sample-complexity in machine learning to reduce problems of incentive-compatible mechanism design to standard algorithmic questions, for a broad class of re...
Maria-Florina Balcan, Avrim Blum, Jason D. Hartlin...
117
Voted
GECCO
2003
Springer
107views Optimization» more  GECCO 2003»
15 years 7 months ago
Exploration of a Two Sided Rendezvous Search Problem Using Genetic Algorithms
The problem of searching for a walker that wants to be found, when the walker moves toward the helicopter when it can hear it, is an example of a two sided search problem which is ...
T. Q. S. Truong, A. Stacey