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EUSFLAT
2007
126views Fuzzy Logic» more  EUSFLAT 2007»
13 years 10 months ago
Selecting the Optimal Rule Set Using a Bacterial Evolutionary Algorithm
In many regression learning algorithms for fuzzy rule bases it is not possible to define the error measure to be optimized freely. A possible alternative is the usage of global o...
Mario Drobics, János Botzheim, Klaus-Peter ...
BMCBI
2004
75views more  BMCBI 2004»
13 years 8 months ago
Joint analysis of two microarray gene-expression data sets to select lung adenocarcinoma marker genes
Background: Due to the high cost and low reproducibility of many microarray experiments, it is not surprising to find a limited number of patient samples in each study, and very f...
Hongying Jiang, Youping Deng, Huann-Sheng Chen, Li...
ECCV
2008
Springer
14 years 10 months ago
Contour Context Selection for Object Detection: A Set-to-Set Contour Matching Approach
Abstract. We introduce a shape detection framework called Contour Context Selection for detecting objects in cluttered images using only one exemplar. Shape based detection is inva...
Qihui Zhu, Liming Wang, Yang Wu, Jianbo Shi
ICCAD
2008
IEEE
107views Hardware» more  ICCAD 2008»
14 years 3 months ago
Constrained aggressor set selection for maximum coupling noise
Debjit Sinha, Gregory Schaeffer, Soroush Abbaspour...
PAKDD
2007
ACM
128views Data Mining» more  PAKDD 2007»
14 years 2 months ago
Selecting a Reduced Set for Building Sparse Support Vector Regression in the Primal
Recent work shows that Support vector machines (SVMs) can be solved efficiently in the primal. This paper follows this line of research and shows how to build sparse support vector...
Liefeng Bo, Ling Wang, Licheng Jiao