554 search results - page 36 / 111 » Variable selection using neural-network models |
154
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NN
1997
Springer
15 years 10 months ago
1997
Springer
Bayesian networks are directed acyclic graphs that represent dependencies between variables in a probabilistic model. Many time series models, including the hidden Markov models (H...
148
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NN
1998
Springer
15 years 5 months ago
1998
Springer
We experimented on task-level robot learning based on bi-directional theory. The via-point representation was used for ‘learning by watching’. In our previous work, we had a r...
168
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IJCNN
2000
IEEE
15 years 10 months ago
2000
IEEE
—A predictive, multiple model control strategy is developed by extension of self-organizing map (SOM) local dynamic modeling of nonlinear autonomous systems to a control framewor...
180
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BMCBI
2006
15 years 6 months ago
2006
Background: Expression microarray analysis is one of the most popular molecular diagnostic techniques in the post-genomic era. However, this technique faces the fundamental proble...
185
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ANNPR
2006
Springer
15 years 9 months ago
2006
Springer
We present a multiclass classification system for gray value images through boosting. The feature selection is done using the LPBoost algorithm which selects suitable features of a...