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COLT
2005
Springer
15 years 11 months ago
A PAC-Style Model for Learning from Labeled and Unlabeled Data
Abstract. There has been growing interest in practice in using unlabeled data together with labeled data in machine learning, and a number of different approaches have been develo...
Maria-Florina Balcan, Avrim Blum
ECSQARU
2005
Springer
15 years 11 months ago
On the Use of Restrictions for Learning Bayesian Networks
In this paper we explore the use of several types of structural restrictions within algorithms for learning Bayesian networks. These restrictions may codify expert knowledge in a g...
Luis M. de Campos, Javier Gomez Castellano
DIAGRAMS
2004
Springer
15 years 11 months ago
Decision Diagrams in Machine Learning: An Empirical Study on Real-Life Credit-Risk Data
Decision trees are a widely used knowledge representation in machine learning. However, one of their main drawbacks is the inherent replication of isomorphic subtrees, as a result...
Christophe Mues, Bart Baesens, Craig M. Files, Jan...
ICALT
2003
IEEE
15 years 11 months ago
Completing LOM - How Additional Axioms Increase the Utility of Learning Object Metadata
Learning Objects Metadata describing educational resources in order to allow better reusability and retrieval. Unfortunately, annotating complete courses thoroughly with LOM metad...
Jan Brase, Mark Painter, Wolfgang Nejdl
ECTEL
2009
Springer
15 years 10 months ago
Getting to Know Your User - Unobtrusive User Model Maintenance within Work-Integrated Learning Environments
Work-integrated learning (WIL) poses unique challenges for user model design: on the one hand users’ knowledge levels need to be determined based on their work activities – tes...
Stefanie N. Lindstaedt, Günter Beham, Barbara...