149 search results - page 5 / 30 » Language Learning from Stochastic Input |
103
Voted
AAAI
1992
15 years 1 months ago
1992
It is often useful for a robot to construct a spatial representation of its environment from experiments and observations, in other words, to learn a map of its environment by exp...
86
Voted
NIPS
1994
15 years 1 months ago
1994
A new learning algorithmis derived which performs online stochastic gradient ascent in the mutual informationbetween outputs and inputs of a network. In the absence of a priori kn...
92
Voted
NIPS
1996
15 years 1 months ago
1996
Real-valued random hidden variables can be useful for modelling latent structure that explains correlations among observed variables. I propose a simple unit that adds zero-mean G...
109
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CORR
2011
Springer
14 years 7 months ago
2011
Springer
We propose a unified neural network architecture and learning algorithm that can be applied to various natural language processing tasks including: part-of-speech tagging, chunki...
ECCV
2004
Springer
16 years 2 months ago
2004
Springer
We introduce a novel approach to modeling the dynamics of human facial motion induced by the action of speech for the purpose of synthesis. We represent the trajectories of a numbe...