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OWLED
2008
15 years 6 months ago
HermiT: A Highly-Efficient OWL Reasoner
Abstract. HermiT is a new OWL reasoner based on a novel "hypertableau" calculus. The new calculus addresses performance problems due to nondeterminism and model size--the...
Rob Shearer, Boris Motik, Ian Horrocks
SDM
2008
SIAM
133views Data Mining» more  SDM 2008»
15 years 6 months ago
Semantic Smoothing for Bayesian Text Classification with Small Training Data
Bayesian text classifiers face a common issue which is referred to as data sparsity problem, especially when the size of training data is very small. The frequently used Laplacian...
Xiaohua Zhou, Xiaodan Zhang, Xiaohua Hu
MEDINFO
2007
169views Healthcare» more  MEDINFO 2007»
15 years 6 months ago
Corpus-based Error Detection in a Multilingual Medical Thesaurus
Cross-language document retrieval systems require support by some kind of multilingual thesaurus for semantically indexing documents in different languages. The peculiarities of t...
Roosewelt L. Andrade, Edson José Pacheco, P...
NIPS
2007
15 years 6 months ago
Discovering Weakly-Interacting Factors in a Complex Stochastic Process
Dynamic Bayesian networks are structured representations of stochastic processes. Despite their structure, exact inference in DBNs is generally intractable. One approach to approx...
Charlie Frogner, Avi Pfeffer
174
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UAI
2008
15 years 6 months ago
Small Sample Inference for Generalization Error in Classification Using the CUD Bound
Confidence measures for the generalization error are crucial when small training samples are used to construct classifiers. A common approach is to estimate the generalization err...
Eric Laber, Susan Murphy
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