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» Experiments with Classifier Combining Rules
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IJCNN
2007
IEEE
15 years 7 months ago
Random Feature Subset Selection for Analysis of Data with Missing Features
Abstract - We discuss an ensemble-of-classifiers based algorithm for the missing feature problem. The proposed approach is inspired in part by the random subspace method, and in pa...
Joseph DePasquale, Robi Polikar
ICDAR
2003
IEEE
15 years 6 months ago
Comparison of Genetic Algorithm and Sequential Search Methods for Classifier Subset Selection
Classifier subset selection (CSS) from a large ensemble is an effective way to design multiple classifier systems (MCSs). Given a validation dataset and a selection criterion, the...
Hongwei Hao, Cheng-Lin Liu, Hiroshi Sako
WACV
2005
IEEE
15 years 7 months ago
Gait Verification Using Probabilistic Methods
In this paper we describe a novel method for gait based identity verification based on Bayesian classification. The verification task is reduced to a two class problem (Client or ...
Alex I. Bazin, Mark S. Nixon
PAAMS
2010
Springer
14 years 11 months ago
An Automatic Programming ACO-Based Algorithm for Classification Rule Mining
In this paper we present a novel algorithm, named GBAP, that jointly uses automatic programming with ant colony optimization for mining classification rules. GBAP is based on a con...
Juan Luis Olmo, Jose María Luna, José...
EUROGP
2005
Springer
156views Optimization» more  EUROGP 2005»
15 years 6 months ago
Evolving Rules for Document Classification
We describe a novel method for using Genetic Programming to create compact classification rules based on combinations of N-Grams (character strings). Genetic programs acquire fitne...
Laurence Hirsch, Masoud Saeedi, Robin Hirsch