3378 search results - page 189 / 676 » Learning in Friedberg Numberings |
162
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ATAL
2009
Springer
16 years 1 months ago
2009
Springer
In large systems, it is important for agents to learn to act effectively, but sophisticated multi-agent learning algorithms generally do not scale. An alternative approach is to ļ...
181
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IROS
2008
IEEE
16 years 28 days ago
2008
IEEE
ā A long cherished goal in artiļ¬cial intelligence has been the ability to endow a robot with the capacity to learn and generalize skills from watching a human teacher. Such an ...
157
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RTCSA
2007
IEEE
16 years 24 days ago
2007
IEEE
Activity recognition is a hot topic in context-aware computing. In activity recognition, machine learning techniques have been widely applied to learn the activity models from lab...
171
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COLT
2007
Springer
16 years 21 days ago
2007
Springer
Property testing deals with tasks where the goal is to distinguish between the case that an object (e.g., function or graph) has a prespeciļ¬ed property (e.g., the function is li...
163
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ECML
2007
Springer
16 years 21 days ago
2007
Springer
In this paper we study the identiļ¬cation of sparse interaction networks as a machine learning problem. Sparsity means that we are provided with a small data set and a high number...