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» Classification of microarray data using gene networks
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AAAI
2004
15 years 4 months ago
Bayesian Network Classifiers Versus k-NN Classifier Using Sequential Feature Selection
The aim of this paper is to compare Bayesian network classifiers to the k-NN classifier based on a subset of features. This subset is established by means of sequential feature se...
Franz Pernkopf
FUZZIEEE
2007
IEEE
15 years 9 months ago
Self-Fuzzification Method According to Typicality Correlation for Classification on Tiny Data Sets
— This article presents a self-fuzzification method to enhance the settings of a Fuzzy Reasoning Classification adapted to the automated inspection of wooden boards. The supervis...
Emmanuel Schmitt, Vincent Bombardier, Patrick Char...
ICDE
2009
IEEE
157views Database» more  ICDE 2009»
16 years 5 months ago
A Rule-Based Classification Algorithm for Uncertain Data
Abstract-- Data uncertainty is common in real-world applications due to various causes, including imprecise measurement, network latency, outdated sources and sampling errors. Thes...
Biao Qin, Yuni Xia, Sunil Prabhakar, Yi-Cheng Tu
ICANN
2009
Springer
15 years 7 months ago
Classification Based on Combination of Kernel Density Estimators
Abstract. A new classification algorithm based on combination of kernel density estimators is introduced. The method combines the estimators with different bandwidths what can be i...
Mateusz Kobos, Jacek Mandziuk
BMCBI
2008
140views more  BMCBI 2008»
15 years 3 months ago
GORouter: an RDF model for providing semantic query and inference services for Gene Ontology and its associations
Background: The most renowned biological ontology, Gene Ontology (GO) is widely used for annotations of genes and gene products of different organisms. However, there are shortcom...
Qingwei Xu, Yixiang Shi, Qiang Lu, Guo-qing Zhang,...