4947 search results - page 463 / 990 » Learning Module Networks |
154
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GECCO
2005
Springer
15 years 11 months ago
2005
Springer
Genetic Programming (GP) based Intrusion Detection Systems (IDS) use connection state network data during their training phase. These connection states are recorded as a set of fe...
143
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ICANN
2005
Springer
15 years 11 months ago
2005
Springer
The use of entropy as a cost function in the neural network learning phase usually implies that, in the back-propagation algorithm, the training is done in batch mode. Apart from t...
197
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WIRN
2005
Springer
15 years 11 months ago
2005
Springer
Recursive neural networks are a powerful tool for processing structured data. According to the recursive learning paradigm, the input information consists of directed positional ac...
172
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ICANN
2007
Springer
15 years 10 months ago
2007
Springer
In todays bioinformatics, Mass spectrometry (MS) is the key technique for the identification of proteins. A prediction of spectrum peak intensities from pre computed molecular feat...
187
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EVOW
2008
Springer
15 years 8 months ago
2008
Springer
In this paper, biological (human) music composition systems based on Time Delay Neural Networks and Ward Nets and on a probabilistic Finite-State Machine will be presented. The sys...