1701 search results - page 157 / 341 » Learning Mappings with Neural Network |
153
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AES
2008
Springer
15 years 6 months ago
2008
Springer
Artificial neural networks (ANN's) are associated with difficulties like lack of success in a given problem and unpredictable level of accuracy that could be achieved. In eve...
149
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ICASSP
2009
IEEE
16 years 1 months ago
2009
IEEE
Diffusion Maps (DiffMaps) has recently provided a general framework that unites many other spectral manifold learning algorithms, including Laplacian Eigenmaps, and it has become ...
142
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GECCO
2010
Springer
15 years 11 months ago
2010
Springer
HyperNEAT represents a class of neuroevolutionary algorithms that captures some of the power of natural development with a ionally efficient high-level abstraction of development....
208
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BMCBI
2007
15 years 6 months ago
2007
Background: The four heterogeneous childhood cancers, neuroblastoma, non-Hodgkin lymphoma, rhabdomyosarcoma, and Ewing sarcoma present a similar histology of small round blue cell...
144
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CORR
2010
Springer
15 years 6 months ago
2010
Springer
Standard hybrid learners that use domain knowledge require stronger knowledge that is hard and expensive to acquire. However, weaker domain knowledge can benefit from prior knowle...