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» An Information Criterion for Informative Gene Selection
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106
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BMCBI
2005
84views more  BMCBI 2005»
15 years 1 months ago
Information theory-based algorithm for in silico prediction of PCR products with whole genomic sequences as templates
Background: A new algorithm for assessing similarity between primer and template has been developed based on the hypothesis that annealing of primer to template is an information ...
Youfang Cao, Lianjie Wang, Kexue Xu, Chunhai Kou, ...
133
Voted
CVPR
2004
IEEE
16 years 3 months ago
Feature Selection for Classifying High-Dimensional Numerical Data
Classifying high-dimensional numerical data is a very challenging problem. In high dimensional feature spaces, the performance of supervised learning methods suffer from the curse...
Yimin Wu, Aidong Zhang
TKDE
2012
192views Formal Methods» more  TKDE 2012»
13 years 4 months ago
Discriminative Feature Selection by Nonparametric Bayes Error Minimization
Feature selection is fundamental to knowledge discovery from massive amount of high-dimensional data. In an effort to establish theoretical justification for feature selection al...
Shuang-Hong Yang, Bao-Gang Hu
ICPR
2008
IEEE
16 years 3 months ago
Active query selection for semi-supervised clustering
Semi-supervised clustering allows a user to specify available prior knowledge about the data to improve the clustering performance. A common way to express this information is in ...
Anil K. Jain, Pavan Kumar Mallapragada, Rong Jin
DAGM
2004
Springer
15 years 7 months ago
Adaptive Feature Selection in Image Segmentation
Most image segmentation algorithms optimize some mathematical similarity criterion derived from several low-level image features. One possible way of combining different types of f...
Volker Roth, Tilman Lange