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GECCO
2006
Springer
210views Optimization» more  GECCO 2006»
13 years 11 months ago
Adaptive diversity in PSO
Spatial Extension PSO (SEPSO) and Attractive-Repulsive PSO (ARPSO) are methods for artificial injection of diversity into particle swarm optimizers that are intended to encourage ...
Christopher K. Monson, Kevin D. Seppi
KDD
1995
ACM
109views Data Mining» more  KDD 1995»
13 years 11 months ago
An Iterative Improvement Approach for the Discretization of Numeric Attributes in Bayesian Classifiers
The Bayesianclassifier is a simple approachto classification that producesresults that are easy for people to interpret. In many cases, the Bayesianclassifieris at leastasaccurate...
Michael J. Pazzani
CAMAD
2006
IEEE
13 years 9 months ago
Nessi: a python network simulator for fast protocol development
A new and simple network simulator Nessi is described in this paper. While other simulators focus on minimizing the simulation time, Nessi tries to minimize the development time an...
Jérôme Vernez, Jürgen Ehrensberg...
AGI
2008
13 years 9 months ago
Artificial general intelligence: an organism and level based position statement
Abstract. Do simple animals, even single-celled animals, display general intelligence? If we take this to mean that they can cope with their environment, even when it is dynamic, t...
Leslie S. Smith
ICONIP
2007
13 years 9 months ago
Practical Recurrent Learning (PRL) in the Discrete Time Domain
One of the authors has proposed a simple learning algorithm for recurrent neural networks, which requires computational cost and memory capacity in practical order O(n2 )[1]. The a...
Mohamad Faizal Bin Samsudin, Takeshi Hirose, Katsu...