197 search results - page 22 / 40 » Complexity of Max-SAT using stochastic algorithms |
134
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IJCNN
2006
IEEE
15 years 8 months ago
2006
IEEE
— Support Vector Machine has been well received in machine learning community with its theoretical as well as practical value. However, since its training time complexity is cubi...
CORR
2010
Springer
15 years 14 days ago
2010
Springer
Optimum implementation of non-conventional wells allows us to increase considerably hydrocarbon recovery. By considering the high drilling cost and the potential improvement in we...
144
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JSAC
2011
14 years 4 months ago
2011
—This paper studies the problem of scheduling in single-hop wireless networks with real-time traffic, where every packet arrival has an associated deadline and a minimum fractio...
103
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GECCO
2007
Springer
15 years 8 months ago
2007
Springer
Markov Networks (also known as Markov Random Fields) have been proposed as a new approach to probabilistic modelling in Estimation of Distribution Algorithms (EDAs). An EDA employ...
168
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FOGA
1998
15 years 3 months ago
1998
Genetic algorithms (GAs) are multi-dimensional and stochastic search methods, involving complex interactions among their parameters. For last two decades, researchers have been tr...