98 search results - page 12 / 20 » Training Recurrent Networks by Evolino |
121
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ICDAR
2011
IEEE
13 years 11 months ago
2011
IEEE
—To cope with the tremendous variations of writing styles encountered between different individuals, unconstrained automatic handwriting recognition systems need to be trained on...
NIPS
1993
15 years 1 months ago
1993
Learning to recognize or predict sequences using long-term context has many applications. However, practical and theoretical problems are found in training recurrent neural networ...
122
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NECO
2011
14 years 6 months ago
2011
Correlations between neuronal spike trains impact network dynamics and population coding. Overlapping afferent populations and correlations between presynaptic spike trains intro...
103
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EAAI
2006
14 years 12 months ago
2006
This article is about a new approach in robotic learning systems. It provides a method to use a real-world device that operates in real-time, controlled through a simulated recurr...
KDD
2004
ACM
16 years 7 days ago
2004
ACM
In order to effectively use machine learning algorithms, e.g., neural networks, for the analysis of survival data, the correct treatment of censored data is crucial. The concordan...