151 search results - page 13 / 31 » Structured Training for Neural Network Transition-Based Pars... |
122
Voted
ICANN
1997
Springer
15 years 7 months ago
1997
Springer
: Substantial evidence indicates that the time structure of neuronal spike trains is relevant in neuronal signal processing. Bio-inspired spiking neural networks are taking these r...
102
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ICANN
2009
Springer
15 years 10 months ago
2009
Springer
The best recent supervised sequence learning methods use gradient descent to train networks of miniature nets called memory cells. The most popular cell structure seems somewhat ar...
201
Voted
JMLR
2012
13 years 6 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 ...
139
Voted
CIS
2005
Springer
15 years 9 months ago
2005
Springer
A new approach for protection of transmission line including TCSC is presented in this paper. The proposed method includes application of Fuzzy Neural Network for distance relaying...
152
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ICAISC
2010
Springer
15 years 5 months ago
2010
Springer
Abstract. We propose a non-standard neural network called TPNN which offers the direct mapping from a peptide sequence to a property of interest in order to model the quantitative ...