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ML
2000
ACM
154views Machine Learning» more  ML 2000»
13 years 7 months ago
Lazy Learning of Bayesian Rules
The naive Bayesian classifier provides a simple and effective approach to classifier learning, but its attribute independence assumption is often violated in the real world. A numb...
Zijian Zheng, Geoffrey I. Webb
ICLP
2010
Springer
13 years 5 months ago
A Framework for Verification and Debugging of Resource Usage Properties: Resource Usage Verification
We present a framework for (static) verification of general resource usage program properties. The framework extends the criteria of correctness as the conformance of a program to ...
Pedro López-García, Luthfi Darmawan,...
DLOG
2011
12 years 11 months ago
Analysing Multiple Versions of an Ontology: A Study of the NCI Thesaurus
The detection of changes between OWL ontologies is an important service for ontology engineering. There are several approaches to this problem, both syntactic and semantic. A purel...
Rafael S. Gonçalves, Bijan Parsia, Ulrike S...
ASIAMS
2007
IEEE
14 years 2 months ago
Rough-Fuzzy Granulation, Rough Entropy and Image Segmentation
This talk has two parts explaining the significance of Rough sets in granular computing in terms of rough set rules and in uncertainty handling in terms of lower and upper approxi...
Sankar K. Pal
CCS
2007
ACM
14 years 1 months ago
Defining categories to select representative attack test-cases
To ameliorate the quality of protection provided by intrusion detection systems (IDS) we strongly need more effective evaluation and testing procedures. Evaluating an IDS against ...
Mohammed S. Gadelrab, Anas Abou El Kalam, Yves Des...