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ICML
2009
IEEE
16 years 7 months ago
Learning structurally consistent undirected probabilistic graphical models
In many real-world domains, undirected graphical models such as Markov random fields provide a more natural representation of the dependency structure than directed graphical mode...
Sushmita Roy, Terran Lane, Margaret Werner-Washbur...
ILP
2007
Springer
16 years 17 days ago
Beyond Prediction: Directions for Probabilistic and Relational Learning
Research over the past several decades in learning logical and probabilistic models has greatly increased the range of phenomena that machine learning can address. Recent work has ...
David D. Jensen
ICALT
2006
IEEE
16 years 14 days ago
Effective Analysis and Design of Computer-Supported Learning System
The analysis phase constitutes an essential step in the development of information systems. Nevertheless, learning materials design activities currently have reduced the analysis ...
David Díez Cebollero, Camino Fernánd...
ECTEL
2006
Springer
15 years 10 months ago
Semantic Modelling of Learning Objects and Instruction
Abstract. We introduce an ontology-based semantic modelling framework that addresses subject domain modelling, instruction modelling, and interoperability aspects in the developmen...
Claus Pahl, Mark Melia
ICALT
2005
IEEE
16 years 17 hour ago
Towards an Advanced Modeling System Applying a Service-Based Approach
Based on the overall aims of the AdeLE (Adaptive e-Learning with Eye-Tracking) project, and in particular motivated by the decision of using a strictly separated system’s archit...
Christian Gütl, Victor Manuel García-B...