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» Unsupervised Classifier Selection Based on Two-Sample Test
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CVPR
2005
IEEE
15 years 11 months ago
WaldBoost - Learning for Time Constrained Sequential Detection
: In many computer vision classification problems, both the error and time characterizes the quality of a decision. We show that such problems can be formalized in the framework of...
Jan Sochman, Jiri Matas
CORR
2006
Springer
153views Education» more  CORR 2006»
14 years 9 months ago
Genetic Programming, Validation Sets, and Parsimony Pressure
Fitness functions based on test cases are very common in Genetic Programming (GP). This process can be assimilated to a learning task, with the inference of models from a limited n...
Christian Gagné, Marc Schoenauer, Marc Pari...
BMCBI
2010
161views more  BMCBI 2010»
14 years 7 months ago
Application of Wavelet Packet Transform to detect genetic polymorphisms by the analysis of inter-Alu PCR patterns
Background: The analysis of Inter-Alu PCR patterns obtained from human genomic DNA samples is a promising technique for a simultaneous analysis of many genomic loci flanked by Alu...
Maurizio Cardelli, Matteo Nicoli, Armando Bazzani,...
KDD
2009
ACM
232views Data Mining» more  KDD 2009»
15 years 10 months ago
Classification of software behaviors for failure detection: a discriminative pattern mining approach
Software is a ubiquitous component of our daily life. We often depend on the correct working of software systems. Due to the difficulty and complexity of software systems, bugs an...
David Lo, Hong Cheng, Jiawei Han, Siau-Cheng Khoo,...
BMCBI
2008
87views more  BMCBI 2008»
14 years 9 months ago
Identification of deleterious non-synonymous single nucleotide polymorphisms using sequence-derived information
Background: As the number of non-synonymous single nucleotide polymorphisms (nsSNPs), also known as single amino acid polymorphisms (SAPs), increases rapidly, computational method...
Jing Hu, Changhui Yan