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SEMWEB
2010
Springer
8 years 7 months ago
Optimising Ontology Classification
Abstract. Ontology classification--the computation of subsumption hierarchies for classes and properties--is one of the most important tasks for OWL reasoners. Based on the algorit...
Birte Glimm, Ian Horrocks, Boris Motik, Giorgos St...
TKDE
2002
133views more  TKDE 2002»
8 years 9 months ago
Binary Rule Generation via Hamming Clustering
The generation of a set of rules underlying a classification problem is performed by applying a new algorithm, called Hamming Clustering (HC). It reconstructs the and-or expressio...
Marco Muselli, Diego Liberati
JSYML
2000
78views more  JSYML 2000»
8 years 9 months ago
On Quantification with A Finite Universe
We consider a finite universe U (more exactly - a family U of them), second order quantifiers QK , where for each U this means quantifying over a family of n(K)-place relations clo...
Saharon Shelah
TNN
2008
90views more  TNN 2008»
8 years 9 months ago
Shared Feature Extraction for Nearest Neighbor Face Recognition
In this paper, we propose a new supervised linear feature extraction technique for multiclass classification problems that is specially suited to the nearest neighbor classifier (N...
David Masip, Jordi Vitrià
AI
2005
Springer
8 years 9 months ago
Fast Protein Superfamily Classification Using Principal Component Null Space Analysis
Abstract. The protein family classification problem, which consists of determining the family memberships of given unknown protein sequences, is very important for a biologist for ...
Leon French, Alioune Ngom, Luis Rueda
CORR
2006
Springer
105views Education» more  CORR 2006»
8 years 9 months ago
Generalization error bounds in semi-supervised classification under the cluster assumption
We consider semi-supervised classification when part of the available data is unlabeled. These unlabeled data can be useful for the classification problem when we make an assumpti...
Philippe Rigollet
AAI
2006
110views more  AAI 2006»
8 years 9 months ago
Evaluation of Classifiers for an Uneven Class Distribution Problem
Classification problems with uneven class distributions present several difficulties during the training as well as during the evaluation process of classifiers. A classification ...
Sophia Daskalaki, Ioannis Kopanas, Nikolaos M. Avo...
IJCAI
1989
8 years 10 months ago
Training Feedforward Neural Networks Using Genetic Algorithms
Multilayered feedforward neural networks possess a number of properties which make them particularly suited to complex pattern classification problems. However, their application ...
David J. Montana, Lawrence Davis
DLOG
1998
8 years 10 months ago
Using Description Logics for Indexing Audiovisual Documents
Abstract We address the problem of indexing broadcast audiovisual documents (such as films, news). Starting from a collection of so-called shots, we aim at building automatically h...
Jean Carrive, François Pachet, Rémi ...
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