869 search results - page 104 / 174 » An Effective Learning Method for Max-Min Neural Networks |
161
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BMCBI
2007
15 years 4 months ago
2007
Background: In vertebrates, a large part of gene transcriptional regulation is operated by cisregulatory modules. These modules are believed to be regulating much of the tissue-sp...
123
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IJCNN
2007
IEEE
15 years 10 months ago
2007
IEEE
be regarded as an abstraction of the underlying effective network connectivity, i.e. its functional connectivity. Although similar functional connectivity models have been describe...
141
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GECCO
2006
Springer
15 years 7 months ago
2006
Springer
In reinforcement learning, an agent interacting with its environment strives to learn a policy that specifies, for each state it may encounter, what action to take. Evolutionary c...
125
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IWANN
2005
Springer
15 years 9 months ago
2005
Springer
Abstract. In Machine Learning, ensembles are combination of classifiers. Their objective is to improve the accuracy. In previous works, we have presented a method for the generati...
133
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IJCNN
2006
IEEE
15 years 10 months ago
2006
IEEE
— This work presents a new architecture of artificial neural networks – Venn Networks, which produce localized activations in a 2D map while executing simple cognitive tasks. T...