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» Hybrid Learning of Ontology Classes
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AIMSA
2008
Springer
13 years 10 months ago
A Hybrid Approach to Distributed Constraint Satisfaction
We present a hybrid approach to Distributed Constraint Satisfaction which combines incomplete, fast, penalty-based local search with complete, slower systematic search. Thus, we pr...
David Lee, Inés Arana, Hatem Ahriz, Kit-Yin...
ITS
2010
Springer
163views Multimedia» more  ITS 2010»
13 years 10 months ago
Correcting Scientific Knowledge in a General-Purpose Ontology
General-purpose ontologies (e.g. WordNet) are convenient, but they are not always scientifically valid. We draw on techniques from semantic class learning to improve the scientific...
Michael Lipschultz, Diane J. Litman
CC
2006
Springer
124views System Software» more  CC 2006»
14 years 5 days ago
Hybrid Optimizations: Which Optimization Algorithm to Use?
We introduce a new class of compiler heuristics: hybrid optimizations. Hybrid optimizations choose dynamically at compile time which optimization algorithm to apply from a set of d...
John Cavazos, J. Eliot B. Moss, Michael F. P. O'Bo...
PRL
2006
115views more  PRL 2006»
13 years 8 months ago
A hybrid parallel projection approach to object-based image restoration
Approaches analyzing local characteristics of an image prevail in image restoration. However, they are less effective in cases of restoring images degraded by large size point spr...
Xin Fan, Hua Huang, Dequn Liang, Chun Qi
EACL
2006
ACL Anthology
13 years 9 months ago
Weakly Supervised Approaches for Ontology Population
We present a weakly supervised approach to automatic Ontology Population from text and compare it with other two unsupervised approaches. In our experiments we populate a part of ...
Hristo Tanev, Bernardo Magnini