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CORR
2000
Springer
120views Education» more  CORR 2000»
15 years 4 months ago
Scaling Up Inductive Logic Programming by Learning from Interpretations
When comparing inductive logic programming (ILP) and attribute-value learning techniques, there is a trade-off between expressive power and efficiency. Inductive logic programming ...
Hendrik Blockeel, Luc De Raedt, Nico Jacobs, Bart ...
AINA
2009
IEEE
15 years 11 months ago
SOA Initiatives for eLearning: A Moodle Case
— Mobile learning applications introduce a new degree of ubiquitousness in the learning process. There is a new generation of ICT-powered mobile learning experiences that exist i...
María José Casany Guerrero, Marc Ali...
COLT
1993
Springer
15 years 8 months ago
Parameterized Learning Complexity
We describe three applications in computational learning theory of techniques and ideas recently introduced in the study of parameterized computational complexity. (1) Using param...
Rodney G. Downey, Patricia A. Evans, Michael R. Fe...
FLAIRS
2008
15 years 6 months ago
Adapting Decision Trees for Learning Selectional Restrictions
This paper describes the implementation of a system that automatically learns selectional restrictions for individual senses of polysemous verbs from subject-object relationships....
Sean R. Szumlanski, Fernando Gomez
LREC
2008
104views Education» more  LREC 2008»
15 years 5 months ago
Definition Extraction Using a Sequential Combination of Baseline Grammars and Machine Learning Classifiers
The paper deals with the task of definition extraction from a small and noisy corpus of instructive texts. Three approaches are presented: Partial Parsing, Machine Learning and a ...
Lukasz Degórski, Michal Marcinczuk, Adam Pr...