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» Classifier Selection Based on Data Complexity Measures
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BMCBI
2006
173views more  BMCBI 2006»
14 years 10 months ago
Kernel-based distance metric learning for microarray data classification
Background: The most fundamental task using gene expression data in clinical oncology is to classify tissue samples according to their gene expression levels. Compared with tradit...
Huilin Xiong, Xue-wen Chen
CEC
2007
IEEE
15 years 1 months ago
Evolution of classification rules for comprehensible knowledge discovery
This article, which lies within the data mining framework, proposes a method to build classifiers based on the evolution of rules. The method, named REC (Rule Evolution for Classif...
Emiliano Carreno, Guillermo Leguizamón, Nea...
IADIS
2003
14 years 11 months ago
Selecting an Approach to Designing Group Support Systems
The increasing demand for group support in software has drawn more attention to the field of designing Group Support Systems. Notwithstanding all the research in this field the pr...
Jeroen van den Heuvel, Kees van Slooten, Roy Tai
BMCBI
2008
97views more  BMCBI 2008»
14 years 10 months ago
Comparison study on k-word statistical measures for protein: From sequence to 'sequence space'
Background: Many proposed statistical measures can efficiently compare protein sequence to further infer protein structure, function and evolutionary information. They share the s...
Qi Dai, Tian-Ming Wang
WAIM
2004
Springer
15 years 3 months ago
Learning-Based Top-N Selection Query Evaluation over Relational Databases
A top-N selection query against a relation is to find the N tuples that satisfy the query condition the best but not necessarily completely. In this paper, we propose a new method ...
Liang Zhu, Weiyi Meng