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CIARP
2005
Springer
16 years 1 days ago
Classifier Selection Based on Data Complexity Measures
Tin Kam Ho and Ester Bernardò Mansilla in 2004 proposed to use data complexity measures to determine the domain of competition of the classifiers. They applied different classifie...
Edith Hernández-Reyes, Jesús Ariel C...
CIARP
2005
Springer
16 years 1 days ago
Edition Schemes Based on BSE
Edition is an important and useful task in supervised classification specifically for instance-based classifiers because edition discards from the training set those useless or har...
José Arturo Olvera-López, José...
CIKM
2005
Springer
16 years 1 days ago
On the estimation of frequent itemsets for data streams: theory and experiments
In this paper, we devise a method for the estimation of the true support of itemsets on data streams, with the objective to maximize one chosen criterion among {precision, recall}...
Pierre-Alain Laur, Richard Nock, Jean-Emile Sympho...
GBRPR
2005
Springer
16 years 1 days ago
Hypergraph-Based Image Representation
Abstract. An appropriate image representation induces some good image treatment algorithms. Hypergraph theory is a theory of finite combinatorial sets, modeling a lot of problems ...
Alain Bretto, Luc Gillibert
GECCO
2005
Springer
141views Optimization» more  GECCO 2005»
16 years 23 hour ago
RABNET: a real-valued antibody network for data clustering
This paper proposes a novel constructive learning algorithm for a competitive neural network. The proposed algorithm is developed by taking ideas from the immune system and demons...
Helder Knidel, Leandro Nunes de Castro, Fernando J...