149 search results - page 5 / 30 » Language Learning from Stochastic Input |
AAAI
1992
14 years 23 hour 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...
NIPS
1994
14 years 5 days 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...
NIPS
1996
14 years 5 days 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...
CORR
2011
Springer
13 years 5 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
15 years 22 days 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...