1957 search results - page 362 / 392 » Approximate algorithms for neural-Bayesian approaches |
EC
2006
14 years 11 months ago
2006
The performance of a learning classifier system is due to its two main components. First, it evolves new structures by generating new rules in a genetic process; second, it adjust...
101
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JMLR
2008
14 years 11 months ago
2008
The max-sum classifier predicts n-tuple of labels from n-tuple of observable variables by maximizing a sum of quality functions defined over neighbouring pairs of labels and obser...
111
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JSAC
2006
14 years 11 months ago
2006
Abstract--In this paper, we consider a many-to-one sensor network where a large number of sensors are deployed to monitor a physical environment. We explore sensor activity managem...
115
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TCBB
2010
2010
Quantifying the Degree of Self-Nestedness of Trees: Application to the Structural Analysis of Plants
14 years 6 months ago
In this paper we are interested in the problem of approximating trees by trees with a particular self-nested structure. Self-nested trees are such that all their subtrees of a give...
136
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SIGMOD
2011
ACM
14 years 2 months ago
2011
ACM
Projective Clustering Ensembles (PCE) are a very recent advance in data clustering research which combines the two powerful tools of clustering ensembles and projective clustering...