640 search results - page 93 / 128 » Extracting Propositions from Trained Neural Networks |
107
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NIPS
2007
15 years 1 months ago
2007
Unsupervised learning algorithms aim to discover the structure hidden in the data, and to learn representations that are more suitable as input to a supervised machine than the ra...
112
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ICASSP
2011
IEEE
14 years 3 months ago
2011
IEEE
We present a novel and unique combination of algorithms to detect the gender of the leading vocalist in recorded popular music. Building on our previous successful approach that e...
104
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BMCBI
2010
14 years 12 months ago
2010
Background: A gene-regulatory network (GRN) refers to DNA segments that interact through their RNA and protein products and thereby govern the rates at which genes are transcribed...
124
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ICANN
2010
Springer
15 years 27 days ago
2010
Springer
Abstract. Learning algorithms relying on Gibbs sampling based stochastic approximations of the log-likelihood gradient have become a common way to train Restricted Boltzmann Machin...
NN
2002
Springer
14 years 11 months ago
2002
Springer
Self-organizing maps (SOMs) are widely used in several fields of application, from neurobiology to multivariate data analysis. In that context, this paper presents variants of the...