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» A Formal Model of Learning Object Metadata
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KI
2007
Springer
14 years 1 months ago
Extending Markov Logic to Model Probability Distributions in Relational Domains
Abstract. Markov logic, as a highly expressive representation formalism that essentially combines the semantics of probabilistic graphical models with the full power of first-orde...
Dominik Jain, Bernhard Kirchlechner, Michael Beetz
CORR
1999
Springer
115views Education» more  CORR 1999»
13 years 7 months ago
The Symbol Grounding Problem
: There has been much discussion recently about the scope and limits of purely symbolic models of the mind and about the proper role of connectionism in cognitive modeling. This pa...
Stevan Harnad
WWW
2004
ACM
14 years 8 months ago
Authoring of learning styles in adaptive hypermedia: problems and solutions
Learning styles, as well as the best ways of responding with corresponding instructional strategies, have been intensively studied in the classical educational (classroom) setting...
Natalia Stash, Alexandra I. Cristea, Paul De Bra
KDD
1997
ACM
122views Data Mining» more  KDD 1997»
13 years 11 months ago
KDD Process Planning
KDD (Knowledge Discovery in Databases) processhas become a new and important research area. Within the framework of KDD process and the GLS (Global Learning Scheme) system recentl...
Ning Zhong, Chunnian Liu, Yoshitsugu Kakemoto, Set...
JAIR
1998
198views more  JAIR 1998»
13 years 7 months ago
Probabilistic Inference from Arbitrary Uncertainty using Mixtures of Factorized Generalized Gaussians
This paper presents a general and efficient framework for probabilistic inference and learning from arbitrary uncertain information. It exploits the calculation properties of fini...
Alberto Ruiz, Pedro E. López-de-Teruel, M. ...