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» Propositional knowledge and know-how
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SEMWEB
2005
Springer
15 years 3 months ago
Representing Probabilistic Relations in RDF
Probabilistic inference will be of special importance when one needs to know how much we can say with what all we know given new observations. Bayesian Network is a graphical prob...
Yoshio Fukushige
JAIR
2007
75views more  JAIR 2007»
14 years 9 months ago
The Language of Search
This paper is concerned with a class of algorithms that perform exhaustive search on propositional knowledge bases. We show that each of these algorithms defines and generates a ...
Jinbo Huang, Adnan Darwiche
ICALT
2005
IEEE
15 years 3 months ago
Evaluating Learner's Knowledge Level on Concept Mapping Tasks
In this paper, we propose a scheme for evaluating learners’ knowledge level on concept mapping tasks. The assessment process focuses on the propositions presented on learner’s...
Evangelia Gouli, Agoritsa Gogoulou, Kyparisia A. P...
AIIA
2005
Springer
15 years 3 months ago
Mining Relational Association Rules for Propositional Classification
In traditional classification setting, training data are represented as a single table, where each row corresponds to an example and each column to a predictor variable or the targ...
Annalisa Appice, Michelangelo Ceci, Donato Malerba
AI
2004
Springer
14 years 9 months ago
Compiling propositional weighted bases
In this paper, we investigate the extent to which knowledge compilation can be used to improve model checking and inference from propositional weighted bases. We first focus on th...
Adnan Darwiche, Pierre Marquis