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» A Description Logic System for Learning in Complex Domains
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ECAI
2010
Springer
13 years 5 months ago
Adaptive Markov Logic Networks: Learning Statistical Relational Models with Dynamic Parameters
Abstract. Statistical relational models, such as Markov logic networks, seek to compactly describe properties of relational domains by representing general principles about objects...
Dominik Jain, Andreas Barthels, Michael Beetz
MATES
2009
Springer
14 years 2 months ago
Towards a Taxonomy of Decision Making Problems in Multi-Agent Systems
Abstract. Taxonomies in the area of Multi-Agent Systems (MAS) classify problems according to the underlying principles and assumptions of the agents’ abilities, rationality and i...
Christian Guttmann
SEMCO
2007
IEEE
14 years 2 months ago
Modeling Discriminative Global Inference
Many recent advances in complex domains such as Natural Language Processing (NLP) have taken a discriminative approach in conjunction with the global application of structural and...
Nicholas Rizzolo, Dan Roth
ICML
2000
IEEE
14 years 8 months ago
Classification of Individuals with Complex Structure
This paper introduces a foundation for inductive learning based on the use of higher-order logic for knowledge representation. In particular, the paper (i) provides a systematic i...
Antony F. Bowers, Christophe G. Giraud-Carrier, Jo...
JUCS
2010
124views more  JUCS 2010»
13 years 2 months ago
A Tool for Managing Domain Knowledge and Helping Tutors in Intelligent Tutoring Systems
: Intelligent Tutoring Systems (ITSs) constitute a popular type of intelligent educational systems. Domain Knowledge (DK) is a basic part of an ITS and usually includes information...
Panayiotis Kyriakou, Ioannis Hatzilygeroudis, John...