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ICML
2005
IEEE
16 years 7 months ago
Learning from labeled and unlabeled data on a directed graph
We propose a general framework for learning from labeled and unlabeled data on a directed graph in which the structure of the graph including the directionality of the edges is co...
Bernhard Schölkopf, Dengyong Zhou, Jiayuan Hu...
SEMWEB
2009
Springer
16 years 1 months ago
An Algorithm for Learning with Probabilistic Description Logics
Probabilistic Description Logics are the basis of ontologies in the Semantic Web. Knowledge representation and reasoning for these logics have been extensively explored in the last...
José Eduardo Ochoa Luna, Fabio Gagliardi Co...
ECML
2007
Springer
16 years 27 days ago
Exploiting Term, Predicate, and Feature Taxonomies in Propositionalization and Propositional Rule Learning
Knowledge representations using semantic web technologies often provide information which translates to explicit term and predicate taxonomies in relational learning. We show how t...
Monika Záková, Filip Zelezný
ECTEL
2007
Springer
16 years 27 days ago
Learning from the Past: TEL Implementation 1997 and 2007
This paper argues that the key challenges facing HE institutions in 2007 are the same as a decade previously and therefore that lessons may be learned from previous attempts to emp...
Stephen Brown
SIGCSE
2005
ACM
108views Education» more  SIGCSE 2005»
16 years 8 days ago
Teaching and learning ethics in computer science: walking the walk
The author shares techniques used in a successful "Ethics and Professionalism" class at California State University, San Bernardino. The author describes active learning...
Richard J. Botting