2295 search results - page 119 / 459 » Learning Overcomplete Representations |
90
Voted
ICML
2008
IEEE
16 years 1 months ago
2008
IEEE
We consider the task of reinforcement learning in an environment in which rare significant events occur independently of the actions selected by the controlling agent. If these ev...
119
Voted
ML
2010
ACM
14 years 7 months ago
2010
ACM
Graph representations of data are increasingly common. Such representations arise in a variety of applications, including computational biology, social network analysis, web applic...
130
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CVPR
2010
IEEE
15 years 6 months ago
2010
IEEE
Local features have proven very useful for recognition.
Manifold learning has proven to be a very powerful tool in
data analysis. However, manifold learning application for
imag...
109
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ICML
2009
IEEE
16 years 1 months ago
2009
IEEE
In many real-world domains, undirected graphical models such as Markov random fields provide a more natural representation of the dependency structure than directed graphical mode...
82
Voted
KCAP
2009
ACM
15 years 7 months ago
2009
ACM
The POIROT project is a four-year effort to develop an architecture that integrates the products of a number of targeted reasoning and learning components to produce executable re...