696 search results - page 4 / 140 » Probabilistic-Logic Models: Reasoning and Learning with Rela... |
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...
ILP
2003
Springer
15 years 2 months ago
2003
Springer
It is well known that many hard tasks considered in machine learning and data mining can be solved in an rather simple and robust way with an instance- and distance-based approach....
ATAL
2006
Springer
15 years 1 months ago
2006
Springer
RVRL (Rule Value Reinforcement Learning) is a new algorithm which extends an existing learning framework that models the environment of a situated agent using a probabilistic rule...
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 ...
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ICML
2010
IEEE
14 years 10 months ago
2010
IEEE
Inference in graphical models has emerged as a promising technique for planning. A recent approach to decision-theoretic planning in relational domains uses forward inference in d...