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GECCO
2004
Springer
102views Optimization» more  GECCO 2004»
16 years 2 days ago
Dynamic and Scalable Evolutionary Data Mining: An Approach Based on a Self-Adaptive Multiple Expression Mechanism
Data mining has recently attracted attention as a set of efficient techniques that can discover patterns from huge data. More recent advancements in collecting massive evolving da...
Olfa Nasraoui, Carlos Rojas, Cesar Cardona
GECCO
2004
Springer
117views Optimization» more  GECCO 2004»
16 years 2 days ago
Alternative Bloat Control Methods
Abstract. Bloat control is an important aspect of evolutionary computation methods, such as genetic programming, which must deal with genomes of arbitrary size. We introduce three ...
Liviu Panait, Sean Luke
136
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GECCO
2004
Springer
16 years 2 days ago
Dynamic Limits for Bloat Control: Variations on Size and Depth
Abstract. We present two important variations on a recently successful bloat control technique, Dynamic Maximum Tree Depth, intended at further improving the results and extending ...
Sara Silva, Ernesto Costa
GECCO
2004
Springer
119views Optimization» more  GECCO 2004»
16 years 2 days ago
Learning Environment for Life Time Value Calculation of Customers in Insurance Domain
A critical success factor in Insurance business is its ability to use information sources and contained knowledge in the most effective way. Its profitability is obtained through t...
Andrea Tettamanzi, Luca Sammartino, Mikhail Simono...
GECCO
2004
Springer
107views Optimization» more  GECCO 2004»
16 years 2 days ago
Multiple Species Weighted Voting - A Genetics-Based Machine Learning System
Multiple Species Weighted Voting (MSWV) is a genetics-based machine learning (GBML) system with relatively few parameters that combines N two-class classifiers into an N -class cla...
Alexander F. Tulai, Franz Oppacher
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