149 search results - page 11 / 30 » Language Learning from Stochastic Input |
CORR
2010
Springer
14 years 8 months ago
2010
Springer
Abstract— Imitation learning in robots, also called programing by demonstration, has made important advances in recent years, allowing humans to teach context dependant motor ski...
105
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ECML
1998
Springer
15 years 1 months ago
1998
Springer
Previous bias shift approaches to predicate invention are not applicable to learning from positive examples only, if a complete hypothesis can be found in the given language, as ne...
ISMB
1994
14 years 10 months ago
1994
We describe and demonstrate the effectiveness of a method of predicting protein secondary structures, sheet regions in particular, using a class of stochastic tree grammars as rep...
117
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ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
This paper considers application of Deep Belief Nets (DBNs) to natural language call routing. DBNs have been successfully applied to a number of tasks, including image, audio and ...
72
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ECML
2007
Springer
15 years 3 months ago
2007
Springer
A general game player is an agent capable of taking as input a description of a game’s rules in a formal language and proceeding to play without any subsequent human input. To do...