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129
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GECCO
2008
Springer
15 years 3 months ago
2008
Springer
A major difficulty for anomaly detection lies in discovering boundaries between normal and anomalous behavior, due to the deficiency of abnormal samples in the training phase. In...
122
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GECCO
2008
Springer
15 years 3 months ago
2008
Springer
Based in part on observations about the incremental nature of most state changes in biological systems, we introduce the idea of Memory with Memory in Genetic Programming (GP), wh...
130
click to vote
GECCO
2008
Springer
15 years 3 months ago
2008
Springer
One of the major difficulties when applying Multiobjective Evolutionary Algorithms (MOEA) to real world problems is the large number of objective function evaluations. Approximate...
124
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GECCO
2008
Springer
15 years 3 months ago
2008
Springer
One problem that has plagued Genetic Programming (GP) and its derivatives is numerical constant creation. Given a mathematical formula expressed as a tree structure, the leaf node...
112
click to vote
GECCO
2008
Springer
15 years 3 months ago
2008
Springer
In this work an improvement of an initial approach to design Artificial Neural Networks to forecast Time Series is tackled, and the automatic process to design Artificial Neural N...