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GECCO
2004
Springer
15 years 11 months ago
2004
Springer
Evolutionary algorithms are a promising approach for the automated design of artificial neural networks, but they require a compact and efficient genetic encoding scheme to repres...
238
Voted
JMLR
2012
13 years 8 months ago
2012
The deep Boltzmann machine is a powerful model that extracts the hierarchical structure of observed data. While inference is typically slow due to its undirected nature, we argue ...
176
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TNN
2008
15 years 6 months ago
2008
Previous work on statistical language modeling has shown that it is possible to train a feed-forward neural network to approximate probabilities over sequences of words, resulting...
166
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ICASSP
2009
IEEE
15 years 10 months ago
2009
IEEE
Speech recognition of inflectional and morphologically rich languages like Czech is currently quite a challenging task, because simple n-gram techniques are unable to capture impo...