63 search results - page 9 / 13 » K-component recurrent neural network language models using c... |
168
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INFORMATICALT
2000
15 years 6 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...
198
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NIPS
2000
15 years 7 months ago
2000
A goal of statistical language modeling is to learn the joint probability function of sequences of words in a language. This is intrinsically difficult because of the curse of dim...
220
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ACL
2012
13 years 9 months ago
2012
Unsupervised word representations are very useful in NLP tasks both as inputs to learning algorithms and as extra word features in NLP systems. However, most of these models are b...
200
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JMLR
2012
13 years 9 months ago
2012
In this paper, we propose a second order optimization method to learn models where both the dimensionality of the parameter space and the number of training samples is high. In ou...
179
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ICASSP
2009
IEEE
16 years 1 months ago
2009
IEEE
In this paper we propose a new technique for robust keyword spotting that uses bidirectional Long Short-Term Memory (BLSTM) recurrent neural nets to incorporate contextual informa...