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» The Use of Classifiers in Sequential Inference
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IEEEIAS
2008
IEEE
14 years 1 months ago
Ensemble of One-Class Classifiers for Network Intrusion Detection System
To achieve high accuracy while lowering false alarm rates are major challenges in designing an intrusion detection system. In addressing this issue, this paper proposes an ensembl...
Anazida Zainal, Mohd Aizaini Maarof, Siti Mariyam ...
JAIR
2006
110views more  JAIR 2006»
13 years 7 months ago
Domain Adaptation for Statistical Classifiers
The most basic assumption used in statistical learning theory is that training data and test data are drawn from the same underlying distribution. Unfortunately, in many applicati...
Hal Daumé III, Daniel Marcu
SSPR
2004
Springer
14 years 25 days ago
An MCMC Feature Selection Technique for Characterizing and Classifying Spatial Region Data
We focus on characterizing spatial region data when distinct classes of structural patterns are present. We propose a novel statistical approach based on a supervised framework for...
Despina Kontos, Vasileios Megalooikonomou, Marc J....
ISMB
1998
13 years 8 months ago
Bayesian Protein Family Classifier
A Bayesian procedure for the simultaneous alignment and classification of sequences into subclasses is described. This Gibbs sampling algorithm iterates between an alignment step ...
Kunbin Qu, Lee Ann McCue, Charles E. Lawrence
APWEB
2006
Springer
13 years 11 months ago
An RDF Storage and Query Framework with Flexible Inference Strategy
In the Semantic Web, RDF (Resource Description Framework) and RDF Schema are commonly used to describe metadata. There are a great many RDF data in current web, therefore, efficien...
Wennan Shen, Yuzhong Qu