869 search results - page 128 / 174 » An Effective Learning Method for Max-Min Neural Networks |
136
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AR
2007
15 years 4 months ago
2007
—Reinforcement learning is the scheme for unsupervised learning in which robots are expected to acquire behavior skills through self-explorations based on reward signals. There a...
143
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BMCBI
2007
15 years 4 months ago
2007
Background: Boolean network (BN) modeling is a commonly used method for constructing gene regulatory networks from time series microarray data. However, its major drawback is that...
142
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HICSS
2003
IEEE
15 years 9 months ago
2003
IEEE
This paper describes a novel approach using Hidden Markov Models (HMM) to detect complex Internet attacks. These attacks consist of several steps that may occur over an extended pe...
179
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BMCBI
2008
15 years 4 months ago
2008
Background: Metagenomics is an approach to the characterization of microbial genomes via the direct isolation of genomic sequences from the environment without prior cultivation. ...
132
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IJCNN
2008
IEEE
15 years 10 months ago
2008
IEEE
— The operation of V1 simple cells in primates has been traditionally modelled with linear models resembling Gabor filters, whereas the functionality of subsequent visual cortic...