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» Metaphor for learning: an evolutionary algorithm
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DEXA
2008
Springer
123views Database» more  DEXA 2008»
13 years 9 months ago
Evolutionary Clustering in Description Logics: Controlling Concept Formation and Drift in Ontologies
Abstract. We present a method based on clustering techniques to detect concept drift or novelty in a knowledge base expressed in Description Logics. The method exploits an effectiv...
Nicola Fanizzi, Claudia d'Amato, Floriana Esposito
JDWM
2007
107views more  JDWM 2007»
13 years 7 months ago
Evolutionary Induction of Mixed Decision Trees
This article presents a new evolutionary algorithm (EA) for induction of mixed decision trees. In nonterminal nodes of a mixed tree, different types of tests can be placed, rangin...
Marek Kretowski, Marek Grzes
ICIP
2010
IEEE
13 years 5 months ago
Evolutionary games for cooperative P2P video streaming
The wide-spread use of P2P video streaming systems have introduced a large number of unnecessary traverse links leading to substantial network inefficiency. To address this proble...
Yan Chen, Beibei Wang, W. Sabrina Lin, Yongle Wu, ...
SDM
2007
SIAM
184views Data Mining» more  SDM 2007»
13 years 9 months ago
Mining Naturally Smooth Evolution of Clusters from Dynamic Data
Many clustering algorithms have been proposed to partition a set of static data points into groups. In this paper, we consider an evolutionary clustering problem where the input d...
Yi Wang, Shi-Xia Liu, Jianhua Feng, Lizhu Zhou
CEC
2003
IEEE
14 years 1 months ago
Learning DFA: evolution versus evidence driven state merging
Learning Deterministic Finite Automata (DFA) is a hard task that has been much studied within machine learning and evolutionary computation research. This paper presents a new met...
Simon M. Lucas, T. Jeff Reynolds