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» Selection of Optimal Rule Refinements
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TWC
2008
154views more  TWC 2008»
13 years 7 months ago
Threshold Selection for SNR-based Selective Digital Relaying in Cooperative Wireless Networks
This paper studies selective relaying schemes based on signal-to-noise-ratio (SNR) to minimize the end-to-end (e2e) bit error rate (BER) in cooperative digital relaying systems usi...
Furuzan Atay Onat, Abdulkareem Adinoyi, Yijia Fan,...
MANSCI
2007
90views more  MANSCI 2007»
13 years 7 months ago
Selecting a Selection Procedure
Selection procedures are used in a variety of applications to select the best of a finite set of alternatives. ‘Best’ is defined with respect to the largest mean, but the me...
Jürgen Branke, Stephen E. Chick, Christian Sc...
GECCO
2003
Springer
191views Optimization» more  GECCO 2003»
14 years 25 days ago
Artificial Immune System for Classification of Gene Expression Data
DNA microarray experiments generate thousands of gene expression measurement simultaneously. Analyzing the difference of gene expression in cell and tissue samples is useful in dia...
Shin Ando, Hitoshi Iba
IDA
2000
Springer
13 years 7 months ago
Reducing redundancy in characteristic rule discovery by using integer programming techniques
The discovery of characteristic rules is a well-known data mining task and has lead to several successful applications. However, because of the descriptive nature of characteristic...
Tom Brijs, Koen Vanhoof, Geert Wets
ICMLC
2010
Springer
13 years 5 months ago
Optimization of bagging classifiers based on SBCB algorithm
: Bagging (Bootstrap Aggregating) has been proved to be a useful, effective and simple ensemble learning methodology. In generic bagging methods, all the classifiers which are trai...
Xiao-Dong Zeng, Sam Chao, Fai Wong