99 search results - page 3 / 20 » Structured Output Layer neural network language model |
132
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JMLR
2012
13 years 5 days 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 ...
101
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JMLR
2010
14 years 4 months ago
2010
We propose a class of Bayesian networks appropriate for structured prediction problems where the Bayesian network's model structure is a function of the predicted output stru...
INFORMATICALT
2000
14 years 9 months ago
2000
In this paper, the hexagonal approach was proposed for modeling the functioning of cerebral cortex, especially, the processes of learning and recognition of visual information. Thi...
IJCNN
2007
IEEE
15 years 4 months ago
2007
IEEE
— A spiking neural network model is used to identify characters in a character set. The network is a two layered structure consisting of integrate-and-fire and active dendrite n...
ISNN
2007
Springer
15 years 3 months ago
2007
Springer
Abstract. Compared to normal learning algorithms, for example backpropagation, the optimal bounded ellipsoid (OBE) algorithm has some better properties, such as faster convergence,...