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ML
2006
ACM
131views Machine Learning» more  ML 2006»
13 years 7 months ago
Markov logic networks
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...
Matthew Richardson, Pedro Domingos
SIGIR
1998
ACM
14 years 2 days ago
DOLORES: A System for Logic-Based Retrieval of Multimedia Objects
We describe the design and implementation of a system for logic-based multimedia retrieval. As highlevel logic for retrieval of hypermedia documents, we have developed a probabilis...
Norbert Fuhr, Norbert Gövert, Thomas Röl...
SAS
2001
Springer
117views Formal Methods» more  SAS 2001»
14 years 8 days ago
Finite-Tree Analysis for Constraint Logic-Based Languages
Abstract. Logic languages based on the theory of rational, possibly infinite, trees have much appeal in that rational trees allow for faster unification (due to the omission of t...
Roberto Bagnara, Roberta Gori, Patricia M. Hill, E...
COGSCI
2010
87views more  COGSCI 2010»
13 years 6 months ago
The Logical Problem of Language Acquisition: A Probabilistic Perspective
Natural language is full of patterns that appear to fit with general linguistic rules but are ungrammatical. There has been much debate over how children acquire these ‘‘ling...
Anne S. Hsu, Nick Chater
ILP
2004
Springer
14 years 1 months ago
Learning Logic Programs with Annotated Disjunctions
Abstract. Logic Programs with Annotated Disjunctions (LPADs) provide a simple and elegant framework for integrating probabilistic reasoning and logic programming. In this paper we ...
Fabrizio Riguzzi