409 search results - page 38 / 82 » Evolutionary learning of small networks |
FLAIRS
2006
15 years 1 months ago
2006
A major difficulty in building Bayesian network models is the size of conditional probability tables, which grow exponentially in the number of parents. One way of dealing with th...
MLDM
2001
Springer
15 years 4 months ago
2001
Springer
Abstract. This paper proposes a general local learning framework to effectively alleviate the complexities of classifier design by means of “divide and conquer” principle and ...
103
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LCN
2006
IEEE
15 years 5 months ago
2006
IEEE
Literature on the use of machine learning (ML) algorithms for classifying IP traffic has relied on fullflows or the first few packets of flows. In contrast, many real-world scenar...
101
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EVOW
2008
Springer
15 years 1 months ago
2008
Springer
We present a study on the use of soft computing techniques for object tracking/segmentation in surveillance video clips. A number of artificial creatures, conceptually, "inhab...
GECCO
2007
Springer
15 years 6 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...