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154
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GECCO
2005
Springer
220views Optimization» more  GECCO 2005»
15 years 10 months ago
Scale invariant pareto optimality: a meta--formalism for characterizing and modeling cooperativity in evolutionary systems
This article describes a mathematical framework for characterizing cooperativity in complex systems subject to evolutionary pressures. This framework uses three foundational compo...
Mark Fleischer
144
Voted
GECCO
2005
Springer
162views Optimization» more  GECCO 2005»
15 years 10 months ago
An autonomous explore/exploit strategy
In reinforcement learning problems it has been considered that neither exploitation nor exploration can be pursued exclusively without failing at the task. The optimal balance bet...
Alex McMahon, Dan Scott, William N. L. Browne
170
Voted
GECCO
2005
Springer
150views Optimization» more  GECCO 2005»
15 years 10 months ago
Population-based incremental learning with memory scheme for changing environments
In recent years there has been a growing interest in studying evolutionary algorithms for dynamic optimization problems due to its importance in real world applications. Several a...
Shengxiang Yang
160
Voted
ICCBR
2005
Springer
15 years 10 months ago
On the Effectiveness of Automatic Case Elicitation in a More Complex Domain
Automatic case elicitation (ACE) is a learning technique in which a case-based reasoning system acquires knowledge automatically from scratch through repeated real-time trial and e...
Siva N. Kommuri, Jay H. Powell, John D. Hastings
KES
2005
Springer
15 years 10 months ago
Design of a Digital Forensics Image Mining System
Increasing amount of illicit image data transmitted via the internet has triggered the need to develop effective image mining systems for digital forensics purposes. This paper dis...
Ross Brown, Binh Pham, Olivier Y. de Vel