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SEMWEB
2009
Springer
15 years 11 months ago
An Algorithm for Learning with Probabilistic Description Logics
Probabilistic Description Logics are the basis of ontologies in the Semantic Web. Knowledge representation and reasoning for these logics have been extensively explored in the last...
José Eduardo Ochoa Luna, Fabio Gagliardi Co...
163
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ICALP
2005
Springer
15 years 10 months ago
Weighted Automata and Weighted Logics
Abstract. Weighted automata are used to describe quantitative properties in various areas such as probabilistic systems, image compression, speech-to-text processing. The behaviour...
Manfred Droste, Paul Gastin
IFIP
2004
Springer
15 years 10 months ago
On Complexity of Model-Checking for the TQL Logic
In this paper we study the complexity of the model-checking problem for the tree logic introduced as the basis for the query language TQL [Cardelli and Ghelli, 2001]. We define tw...
Iovka Boneva, Jean-Marc Talbot
BIRTHDAY
2000
Springer
15 years 9 months ago
Prioritizing Default Logic
A number of prioritized variants of Reiter’s default logic have been described in the literature. In this paper, we introduce two natural principles for preference handling and s...
Gerhard Brewka, Thomas Eiter
ML
2006
ACM
131views Machine Learning» more  ML 2006»
15 years 4 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