824 search results - page 56 / 165 » Learning probabilistic logic models from probabilistic examp... |
142
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ICPR
2006
IEEE
16 years 5 months ago
2006
IEEE
Correspondence algorithms typically struggle with shapes that display part-based variation. We present a probabilistic approach that matches shapes using independent part transfor...
121
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SAFECOMP
2009
Springer
15 years 10 months ago
2009
Springer
A key concern in safety engineering is understanding the overall emergent failure behaviour of a system, i.e., behaviour exhibited by the system that is outside its specification ...
136
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NAACL
2007
15 years 5 months ago
2007
We propose a high-performance cascaded hybrid model for Chinese NER. Firstly, we use Boosting, a standard and theoretically wellfounded machine learning method to combine a set of...
131
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ICDT
2010
ACM
16 years 1 months ago
2010
ACM
Sources of data uncertainty and imprecision are numerous. A way to handle this uncertainty is to associate probabilistic annotations to data. Many such probabilistic database mode...
122
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CORR
2010
Springer
15 years 4 months ago
2010
Springer
This paper introduces a simple and very general theory of compressive sensing. In this theory, the sensing mechanism simply selects sensing vectors independently at random from a ...