883 search results - page 35 / 177 » Unsupervised learning in neural computation |
94
Voted
PPSN
1994
Springer
15 years 6 months ago
1994
Springer
103
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NN
2006
Springer
15 years 1 months ago
2006
Springer
This paper introduces a generic theoretical framework for predictive learning, and relates it to data-driven and learning applications in earth and environmental sciences. The iss...
CIMCA
2005
IEEE
15 years 7 months ago
2005
IEEE
Hybrid set of optimally trained feed-forward, Hopfield and Elman neural networks were used as computational tools and were applied to immunoinformatics. These neural networks ena...
122
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DAGSTUHL
2008
15 years 3 months ago
2008
The construction of computational cognitive models integrating the connectionist and symbolic paradigms of artificial intelligence is a standing research issue in the field. The co...
108
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GECCO
2007
Springer
15 years 8 months ago
2007
Springer
The brain has long been seen as a powerful analogy from which novel computational techniques could be devised. However, most artificial neural network approaches have ignored the...