890 search results - page 89 / 178 » Large Scale Online Learning |
212
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MIR
2005
ACM
15 years 11 months ago
2005
ACM
We propose a new method for automated large scale gathering of Web images relevant to specified concepts. Our main goal is to build a knowledge base associated with as many conce...
162
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ICML
2002
IEEE
16 years 6 months ago
2002
IEEE
One of the central challenges in reinforcement learning is to balance the exploration/exploitation tradeoff while scaling up to large problems. Although model-based reinforcement ...
198
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CVPR
2009
IEEE
17 years 20 days ago
2009
IEEE
Recently, we proposed marginal space learning (MSL) as
a generic approach for automatic detection of 3D anatom-
ical structures in many medical imaging modalities. To
accurately...
126
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CACM
2011
14 years 9 months ago
2011
Disk-oriented approaches to online storage are becoming increasingly problematic: they do not scale gracefully to meet the needs of large-scale Web applications, and improvements ...
140
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INFFUS
2008
15 years 5 months ago
2008
act 11 We describe an ensemble approach to learning from arbitrarily partitioned data. The partitioning comes from the distributed process12 ing requirements of a large scale simul...