4196 search results - page 403 / 840 » Unsupervised Learning of Relations |
178
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CISST
2004
15 years 7 months ago
2004
Probabilistic feature relevance learning (PFRL) is an effective method for adaptively computing local feature relevance in content-based image retrieval. It computes flexible retr...
156
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AAAI
1996
15 years 7 months ago
1996
Inductive algorithms rely strongly on their representational biases, Constructive induction can mitigate representational inadequacies. This paper introduces the notion of a relat...
156
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COGSCI
2008
15 years 6 months ago
2008
This article reports the structure of associations among 101 common verbs and body parts. The verbs are those typically learned by children learning English prior to 3 years of ag...
171
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ECCC
2006
15 years 6 months ago
2006
Detecting the relevant attributes of an unknown target concept is an important and well studied problem in algorithmic learning. Simple greedy strategies have been proposed that s...
165
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IJAR
2006
15 years 6 months ago
2006
Probabilistic decision graphs (PDGs) are a representation language for probability distributions based on binary decision diagrams. PDGs can encode (context-specific) independence...