824 search results - page 8 / 165 » Learning probabilistic logic models from probabilistic examp... |
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 ...
KI
2007
Springer
15 years 3 months ago
2007
Springer
Abstract. Markov logic, as a highly expressive representation formalism that essentially combines the semantics of probabilistic graphical models with the full power of first-orde...
NIPS
2004
14 years 11 months ago
2004
We describe how we used a data set of chorale harmonisations composed by Johann Sebastian Bach to train Hidden Markov Models. Using a probabilistic framework allows us to create a...
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 ...
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VLDB
1990
ACM
15 years 1 months ago
1990
ACM
A probabilistic learning model for vague queries and missing or imprecise information in databases is described. Instead of retrieving only a set of answers, our approach yields a...