425 search results - page 32 / 85 » Using Stochastic Grammars to Learn Robotic Tasks |
121
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ICML
2009
IEEE
15 years 8 months ago
2009
IEEE
One of the main problems in probabilistic grammatical inference consists in inferring a stochastic language, i.e. a probability distribution, in some class of probabilistic models...
118
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CORR
2010
Springer
14 years 12 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...
124
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ATAL
2004
Springer
15 years 6 months ago
2004
Springer
New applications for autonomous robots bring them into the human environment where they are to serve as helpful assistants to untrained users in the home or office, or work as ca...
112
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ACL
2009
14 years 11 months ago
2009
We investigate the task of unsupervised constituency parsing from bilingual parallel corpora. Our goal is to use bilingual cues to learn improved parsing models for each language ...
104
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AUSAI
2008
Springer
15 years 3 months ago
2008
Springer
This paper explores the use of alternating sequential patterns of local features and saccading actions to learn robust and compact object representations. The temporal encoding rep...