140 search results - page 13 / 28 » Learning Hierarchical Performance Knowledge by Observation |
153
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CVPR
2008
IEEE
16 years 6 months ago
2008
IEEE
To learn a new visual category from few examples, prior knowledge from unlabeled data as well as previous related categories may be useful. We develop a new method for transfer le...
139
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IDEAL
2004
Springer
15 years 9 months ago
2004
Springer
We study a stock trading method based on dynamic bayesian networks to model the dynamics of the trend of stock prices. We design a three level hierarchical hidden Markov model (HHM...
165
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WWW
2011
ACM
14 years 11 months ago
2011
ACM
Recently, a number of algorithms have been proposed to obtain hierarchical structures — so-called folksonomies — from social tagging data. Work on these algorithms is in part ...
154
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ICCBR
2005
Springer
15 years 10 months ago
2005
Springer
Automatic case elicitation (ACE) is a learning technique in which a case-based reasoning system acquires knowledge automatically from scratch through repeated real-time trial and e...
166
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AAMAS
2004
Springer
15 years 4 months ago
2004
Springer
A fundamental difficulty faced by groups of agents that work together is how to efficiently coordinate their efforts. This coordination problem is both ubiquitous and challenging,...