2088 search results - page 387 / 418 » The Probabilistic Method |
CORR
2010
Springer
14 years 9 months ago
2010
Springer
A sender wishes to broadcast a message of length n over an alphabet of size k to r users, where each user i, 1 i r should be able to receive one of possible mi messages. The cha...
145
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Book
"Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kernel machines. GPs have received increased attention in the machine-learning...
103
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ICPR
2008
IEEE
2008
IEEE
Weakly supervised learning using proportion-based information: An application to fisheries acoustics
15 years 11 months ago
This paper addresses the inference of probabilistic classification models using weakly supervised learning. In contrast to previous work, the use of proportion-based training data...
111
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WWW
2008
ACM
15 years 10 months ago
2008
ACM
Inferring an appropriate DTD or XML Schema Definition (XSD) for a given collection of XML documents essentially reduces to learning deterministic regular expressions from sets of ...
WWW
2005
ACM
15 years 10 months ago
2005
ACM
To exploit the similarity information hidden in the hyperlink structure of the web, this paper introduces algorithms scalable to graphs with billions of vertices on a distributed ...