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DAS
2010
Springer
15 years 9 months ago
Improved classification through runoff elections
We consider the problem of dealing with irrelevant votes when a multi-case classifier is built from an ensemble of binary classifiers. We show how run-off elections can be used to...
Oleg Golubitsky, Stephen M. Watt
CSDA
2004
81views more  CSDA 2004»
15 years 5 months ago
A note on split selection bias in classification trees
A common approach to split selection in classification trees is to search through all possible splits generated by predictor variables. A splitting criterion is then used to evalu...
Y.-S. Shih
TSP
2010
15 years 17 days ago
Learning graphical models for hypothesis testing and classification
Sparse graphical models have proven to be a flexible class of multivariate probability models for approximating high-dimensional distributions. In this paper, we propose techniques...
Vincent Y. F. Tan, Sujay Sanghavi, John W. Fisher ...
DAWAK
2009
Springer
15 years 10 months ago
Arguing from Experience to Classifying Noisy Data
A process, based on argumentation theory, is described for classifying very noisy data. More specifically a process founded on a concept called “arguing from experience” is des...
Maya Wardeh, Frans Coenen, Trevor J. M. Bench-Capo...
BMCBI
2004
112views more  BMCBI 2004»
15 years 5 months ago
A double classification tree search algorithm for index SNP selection
Background: In population-based studies, it is generally recognized that single nucleotide polymorphism (SNP) markers are not independent. Rather, they are carried by haplotypes, ...
Peisen Zhang, Huitao Sheng, Ryuhei Uehara