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MCS
2001
Springer
15 years 11 months ago
Dependence among Codeword Bits Errors in ECOC Learning Machines: An Experimental Analysis
One of the main factors affecting the effectiveness of ECOC methods for classification is the dependence among the errors of the computed codeword bits. We present an extensive ...
Francesco Masulli, Giorgio Valentini
ISIPTA
1999
IEEE
15 years 11 months ago
Implicative Analysis for Multivariate Binary Data using an Imprecise Dirichlet Model
Bayesian implicative analysis was proposed for summarizing the association in a 22 contingency table in terms possibly asymmetrical such as, e.g., presence of feature a implies, i...
Jean-Marc Bernard
CIARP
2007
Springer
15 years 11 months ago
Bagging with Asymmetric Costs for Misclassified and Correctly Classified Examples
Abstract. Diversity is a key characteristic to obtain advantages of combining predictors. In this paper, we propose a modification of bagging to explicitly trade off diversity and ...
Ricardo Ñanculef, Carlos Valle, Héct...
CIBCB
2007
IEEE
15 years 11 months ago
Associative Artificial Neural Network for Discovery of Highly Correlated Gene Groups Based on Gene Ontology and Gene Expression
Abstract-- The advance of high-throughput experimental technologies poses continuous challenges to computational data analysis in functional and comparative genomics studies. Gene ...
Ji He, Xinbin Dai, Xuechun Zhao
GECCO
2006
Springer
173views Optimization» more  GECCO 2006»
15 years 10 months ago
Sets of receiver operating characteristic curves and their use in the evaluation of multi-class classification
Within the last two decades, Receiver Operating Characteristic (ROC) Curves have become a standard tool for the analysis and comparison of classifiers since they provide a conveni...
Stephan M. Winkler, Michael Affenzeller, Stefan Wa...