3708 search results - page 555 / 742 » The Inverse Classification Problem |
194
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IJCAI
2003
15 years 7 months ago
2003
Bayesian network models are widely used for discriminative prediction tasks such as classification. Usually their parameters are determined using 'unsupervised' methods ...
201
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NIPS
1996
15 years 7 months ago
1996
To obtain classification systems with both good generalizat`ion performance and efficiency in space and time, we propose a learning method based on combinations of weak classifiers...
186
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ADHOC
2006
15 years 6 months ago
2006
Studies of ad hoc wireless networks are a relatively new field gaining more popularity for various new applications. In these networks, the Medium Access Control (MAC) protocols a...
152
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ANOR
2006
15 years 6 months ago
2006
To solve a decision problem under uncertainty via stochastic programming means to choose or to build a suitable stochastic programming model taking into account the nature of the r...
167
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IJON
2008
15 years 6 months ago
2008
The term neural network evolution usually refers to network topology evolution leaving the network's parameters to be trained using conventional algorithms. In this paper we ...