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» On the Brittleness of Evolutionary Algorithms
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WSTST
2005
Springer
15 years 5 months ago
Hybrid Neurocomputing for Breast Cancer Detection
Breast cancer is one of the major tumor related cause of death in women. Various artificial intelligence techniques have been used to improve the diagnoses procedures and to aid t...
Yuehui Chen, Ajith Abraham, Bo Yang
CPM
2004
Springer
84views Combinatorics» more  CPM 2004»
15 years 5 months ago
Small Phylogeny Problem: Character Evolution Trees
Abstract. Phylogenetics is a science of determining connections between groups of organisms in terms of ancestor/descendent relationships, usually expressed by phylogenetic trees, ...
Arvind Gupta, Ján Manuch, Ladislav Stacho, ...
EVOW
2004
Springer
15 years 5 months ago
Analysis of Proteomic Pattern Data for Cancer Detection
Abstract. In this paper we analyze two proteomic pattern datasets containing measurements from ovarian and prostate cancer samples. In particular, a linear and a quadratic support ...
Kees Jong, Elena Marchiori, Aad van der Vaart
GECCO
2004
Springer
15 years 5 months ago
Shortcomings with Tree-Structured Edge Encodings for Neural Networks
In evolutionary algorithms a common method for encoding neural networks is to use a tree-structured assembly procedure for constructing them. Since node operators have difficulties...
Gregory Hornby
GECCO
2004
Springer
138views Optimization» more  GECCO 2004»
15 years 5 months ago
Exploratory Data Analysis with Interactive Evolution
We illustrate with two simple examples how Interactive Evolutionary Computation (IEC) can be applied to Exploratory Data Analysis (EDA). IEC is particularly valuable in an EDA cont...
Sergey Malinchik, Eric Bonabeau