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» Learning Recursive Automata from Positive Examples
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AIED
2007
Springer
14 years 1 months ago
Explaining Self-Explaining: A Contrast between Content and Generation
Self-explaining has been repeatedly shown to result in positive learning outcomes for students in a wide variety of disciplines. However, there are two potential accounts for why s...
Robert G. M. Hausmann, Kurt VanLehn
ILP
2003
Springer
14 years 22 days ago
Disjunctive Learning with a Soft-Clustering Method
In the case of concept learning from positive and negative examples, it is rarely possible to find a unique discriminating conjunctive rule; in most cases, a disjunctive descripti...
Guillaume Cleuziou, Lionel Martin, Christel Vrain
ICFCA
2007
Springer
14 years 1 months ago
A Parameterized Algorithm for Exploring Concept Lattices
Kuznetsov shows that Formal Concept Analysis (FCA) is a natural framework for learning from positive and negative examples. Indeed, the results of learning from positive examples (...
Peggy Cellier, Sébastien Ferré, Oliv...
EMNLP
2010
13 years 5 months ago
A Semi-Supervised Method to Learn and Construct Taxonomies Using the Web
Although many algorithms have been developed to harvest lexical resources, few organize the mined terms into taxonomies. We propose (1) a semi-supervised algorithm that uses a roo...
Zornitsa Kozareva, Eduard H. Hovy
MM
2000
ACM
114views Multimedia» more  MM 2000»
13 years 12 months ago
Virtual 3D camera composition from frame constraints
We have designed a graphical interface that enables 3D visual artists or developers of interactive 3D virtual environments to efficiently define sophisticated camera compositions ...
William H. Bares, Scott McDermott, Christina Boudr...