2936 search results - page 162 / 588 » Genetic Process Mining |
142
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BMCBI
2008
15 years 4 months ago
2008
Background: The traditional (unweighted) k-means is one of the most popular clustering methods for analyzing gene expression data. However, it suffers three major shortcomings. It...
167
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CORR
2006
Springer
15 years 4 months ago
2006
Springer
Fitness functions based on test cases are very common in Genetic Programming (GP). This process can be assimilated to a learning task, with the inference of models from a limited n...
183
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BMCBI
2010
14 years 11 months ago
2010
Background: The development, in the last decade, of stochastic heuristics implemented in robust application softwares has made large phylogeny inference a key step in most compara...
141
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IJCNLP
2005
Springer
15 years 9 months ago
2005
Springer
This paper studies the problem of mining relational data hidden in natural language text. In particular, it approaches the relation classification problem with the strategy of tra...
240
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UPP
2004
Springer
15 years 9 months ago
2004
Springer
Evolving solutions rather than computing them certainly represents an unconventional programming approach. The general methodology of evolutionary computation has already been know...