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» Learning Causal Models of Relational Domains
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ECML
2007
Springer
15 years 8 months ago
Learning Directed Probabilistic Logical Models: Ordering-Search Versus Structure-Search
We discuss how to learn non-recursive directed probabilistic logical models from relational data. This problem has been tackled before by upgrading the structure-search algorithm i...
Daan Fierens, Jan Ramon, Maurice Bruynooghe, Hendr...
NIPS
2003
15 years 3 months ago
Learning a World Model and Planning with a Self-Organizing, Dynamic Neural System
We present a connectionist architecture that can learn a model of the relations between perceptions and actions and use this model for behavior planning. State representations are...
Marc Toussaint
PGLDB
2003
122views Database» more  PGLDB 2003»
15 years 3 months ago
Exploring Learning Objects under Conceptual, Instructional and Didactic Perspectives
The idea of Learning Objects – “any digital resource that can be reused to support learning” – is emerging as a way to reuse learning materials in different settings and c...
Ellen Francine Barbosa, José Carlos Maldona...
CORR
2010
Springer
185views Education» more  CORR 2010»
14 years 10 months ago
Analysing the behaviour of robot teams through relational sequential pattern mining
This report outlines the use of a relational representation in a Multi-Agent domain to model the behaviour of the whole system. A desired property in this systems is the ability of...
Grazia Bombini, Raquel Ros, Stefano Ferilli, Ramon...
CONTEXT
2007
Springer
15 years 8 months ago
Adaptive and Context-aware Scenarios for Technology Enhanced Learning System based on a Didactical Theory and a Hierarchical Tas
Among the main issues of future technology-enhanced learning systems, we can mention the following ones: the ability to reuse learning resources (learning objects, tools and servic...
Jean-Louis Tetchueng, Serge Garlatti, Sylvain Laub...