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» Classifier Selection Based on Data Complexity Measures
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FCT
2007
Springer
15 years 8 months ago
A String-Based Model for Simple Gene Assembly
Abstract. The simple intramolecular model for gene assembly in ciliates is particularly interesting because it can predict the correct assembly of all available experimental data, ...
Robert Brijder, Miika Langille, Ion Petre
ICDM
2005
IEEE
185views Data Mining» more  ICDM 2005»
15 years 7 months ago
Semi-Supervised Mixture of Kernels via LPBoost Methods
We propose an algorithm to construct classification models with a mixture of kernels from labeled and unlabeled data. The derived classifier is a mixture of models, each based o...
Jinbo Bi, Glenn Fung, Murat Dundar, R. Bharat Rao
INFORSID
2008
15 years 3 months ago
Processus global d'acquisition et de gestion des sigles
This paper deals with an acronym/definition extraction approach from textual data (corpora) and the disambiguation of these definitions (or expansions). Both steps of our global pr...
Mathieu Roche, Violaine Prince
ESWS
2008
Springer
15 years 3 months ago
Query Answering and Ontology Population: An Inductive Approach
In order to overcome the limitations of deductive logic-based approaches to deriving operational knowledge from ontologies, especially when data come from distributed sources, indu...
Claudia d'Amato, Nicola Fanizzi, Floriana Esposito
PAMI
2010
170views more  PAMI 2010»
15 years 4 days ago
On the Decoding Process in Ternary Error-Correcting Output Codes
—A common way to model multiclass classification problems is to design a set of binary classifiers and to combine them. Error-Correcting Output Codes (ECOC) represent a successfu...
Sergio Escalera, Oriol Pujol, Petia Radeva