3114 search results - page 71 / 623 » Distributed Case-Based Learning |
151
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JMLR
2012
13 years 3 months ago
2012
Contextual bandit learning is a reinforcement learning problem where the learner repeatedly receives a set of features (context), takes an action and receives a reward based on th...
125
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CVPR
2012
IEEE
13 years 3 months ago
2012
IEEE
We study the problem of segmenting multiple cell nuclei from GFP or Hoechst stained microscope images with a shape prior. This problem is encountered ubiquitously in cell biology ...
118
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ICML
2010
IEEE
15 years 2 months ago
2010
IEEE
Multiagent Inductive Learning is the problem that groups of agents face when they want to perform inductive learning, but the data of interest is distributed among them. This pape...
CLUSTER
2008
IEEE
15 years 7 months ago
2008
IEEE
CCGRID
2006
IEEE
15 years 7 months ago
2006
IEEE
