824 search results - page 84 / 165 » Learning probabilistic logic models from probabilistic examp... |
159
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ICVS
1999
Springer
15 years 8 months ago
1999
Springer
We propose Action-Reaction Learning as an approach for analyzing and synthesizing human behaviour. This paradigm uncovers causal mappings between past and future events or between...
280
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NIPS
2008
15 years 5 months ago
2008
It is now well established that sparse signal models are well suited for restoration tasks and can be effectively learned from audio, image, and video data. Recent research has be...
150
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CVPR
2003
IEEE
16 years 6 months ago
2003
IEEE
We present a method to learn and recognize object class models from unlabeled and unsegmented cluttered scenes in a scale invariant manner. Objects are modeled as flexible constel...
129
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ASIAN
2007
Springer
15 years 10 months ago
2007
Springer
Abstract. This paper is concerned about relating formal and computational models of cryptography in case of active adversaries when formal security analysis is done with first ord...
149
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ICML
2007
IEEE
16 years 4 months ago
2007
IEEE
The paper is concerned with learning to rank, which is to construct a model or a function for ranking objects. Learning to rank is useful for document retrieval, collaborative fil...