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GECCO
2003
Springer
268views Optimization» more  GECCO 2003»
13 years 11 months ago
A Generalized Feedforward Neural Network Architecture and Its Training Using Two Stochastic Search Methods
Shunting Inhibitory Artificial Neural Networks (SIANNs) are biologically inspired networks in which the synaptic interactions are mediated via a nonlinear mechanism called shuntin...
Abdesselam Bouzerdoum, Rainer Mueller
ATAL
2010
Springer
13 years 7 months ago
Optimal temporal decoupling in multiagent systems
When agents need to interact in order to solve some (possibly common) problem, resolving potential conflicts beforehand is often preferred to coordination during execution. Agents...
Léon Planken, Mathijs de Weerdt, Cees Witte...
ICDM
2009
IEEE
111views Data Mining» more  ICDM 2009»
14 years 21 days ago
A Game Theoretical Model for Adversarial Learning
Abstract—It is now widely accepted that in many situations where classifiers are deployed, adversaries deliberately manipulate data in order to reduce the classifier’s accura...
Wei Liu, Sanjay Chawla
GECCO
2007
Springer
171views Optimization» more  GECCO 2007»
14 years 6 days ago
Toward a better understanding of rule initialisation and deletion
A number of heuristics have been used in Learning Classifier Systems to initialise parameters of new rules, to adjust fitness of parent rules when they generate offspring, and ...
Tim Kovacs, Larry Bull
GECCO
2007
Springer
177views Optimization» more  GECCO 2007»
14 years 6 days 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