197 search results - page 25 / 40 » Complexity of Max-SAT using stochastic algorithms |
149
Voted
EVOW
2010
Springer
15 years 12 days ago
2010
Springer
Background: Identifying approximately repeated patterns, or motifs, in DNA sequences from a set of co-regulated genes is an important step towards deciphering the complex gene reg...
132
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GECCO
2008
Springer
15 years 2 months ago
2008
Springer
In this work we present a new methodology for structure and parameter estimation in cell systems biology modelling. Our modelling framework is based on P systems, an unconl comput...
102
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JAIR
2008
15 years 1 months ago
2008
Machine learning techniques are gaining prevalence in the production of a wide range of classifiers for complex real-world applications with nonuniform testing and misclassificati...
155
Voted
JMLR
2008
15 years 1 months ago
2008
Log-linear and maximum-margin models are two commonly-used methods in supervised machine learning, and are frequently used in structured prediction problems. Efficient learning of...
110
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ECAL
2005
Springer
15 years 7 months ago
2005
Springer
An evolutionary reinforcement-learning algorithm, the operation of which was not associated with an optimality condition, was instantiated in an artificial organism. The algorithm ...