2088 search results - page 387 / 418 » The Probabilistic Method |
CORR
2010
Springer
13 years 7 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...
Book
"Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kernel machines. GPs have received increased attention in the machine-learning...
ICPR
2008
IEEE
2008
IEEE
Weakly supervised learning using proportion-based information: An application to fisheries acoustics
14 years 8 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...
WWW
2008
ACM
14 years 8 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
14 years 8 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 ...