186 search results - page 6 / 38 » Learning directed probabilistic logical models from relation... |
103
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JCB
2006
14 years 9 months ago
2006
Biological systems are traditionally studied by focusing on a specific subsystem, building an intuitive model for it, and refining the model using results from carefully designed ...
PKDD
2009
Springer
15 years 4 months ago
2009
Springer
Abstract. We propose a learning approach for integrating formal knowledge into statistical inference by exploiting ontologies as a semantically rich and fully formal representation...
127
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IDA
2005
Springer
15 years 3 months ago
2005
Springer
Abstract. This paper introduces Higher-Order Bayesian Networks, a probabilistic reasoning formalism which combines the efficient reasoning mechanisms of Bayesian Networks with the...
83
Voted
ML
2006
ACM
14 years 9 months ago
2006
ACM
We propose a simple approach to combining first-order logic and probabilistic graphical models in a single representation. A Markov logic network (MLN) is a first-order knowledge b...
92
Voted
CORR
2008
Springer
14 years 9 months ago
2008
Springer
Many real-world data are maintained in relational format, with different tables storing information about entities and their links or relationships. The structure (schema) of the ...