1531 search results - page 8 / 307 » Learning probabilistic models of the Web |
99
Voted
ACIIDS
2010
IEEE
15 years 2 months ago
2010
IEEE
There are two main topics in this paper: (i) Vietnamese words are recognized and sentences are segmented into words by using probabilistic models; (ii) the optimum probabilistic mo...
GLVLSI
2005
IEEE
15 years 3 months ago
2005
IEEE
Switching model captures the data-driven uncertainty in logic circuits in a comprehensive probabilistic framework. Switching is a critical factor that influences dynamic, active ...
93
Voted
ILP
2007
Springer
15 years 3 months ago
2007
Springer
Research over the past several decades in learning logical and probabilistic models has greatly increased the range of phenomena that machine learning can address. Recent work has ...
162
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ICLP
2009
Springer
15 years 10 months ago
2009
Springer
PRISM is a probabilistic extension of Prolog. It is a high level language for probabilistic modeling capable of learning statistical parameters from observed data. After reviewing ...
83
Voted
ICML
2009
IEEE
15 years 10 months ago
2009
IEEE
In many real-world domains, undirected graphical models such as Markov random fields provide a more natural representation of the dependency structure than directed graphical mode...