1484 search results - page 185 / 297 » Semi-supervised Learning from General Unlabeled Data |
228
Voted
CORR
2011
Springer
14 years 10 months ago
2011
Springer
Learning theory has largely focused on two main learning scenarios. The first is the classical statistical setting where instances are drawn i.i.d. from a fixed distribution and...
187
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ECCV
2008
Springer
16 years 8 months ago
2008
Springer
Assumptions of brightness constancy and spatial smoothness underlie most optical flow estimation methods. In contrast to standard heuristic formulations, we learn a statistical mod...
210
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GECCO
2008
Springer
15 years 7 months ago
2008
Springer
This paper merges hierarchical reinforcement learning (HRL) with ant colony optimization (ACO) to produce a HRL ACO algorithm capable of generating solutions for large domains. Th...
190
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KDD
2009
ACM
16 years 1 months ago
2009
ACM
Merchants selling products on the Web often ask their customers to share their opinions and hands-on experiences on products they have purchased. Unfortunately, reading through al...
238
Voted
MM
2004
ACM
16 years 5 days ago
2004
ACM
We consider the problem of learning a mapping function from low-level feature space to high-level semantic space. Under the assumption that the data lie on a submanifold embedded ...