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» Making inferences with small numbers of training sets
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TNN
2010
148views Management» more  TNN 2010»
13 years 3 months ago
A fast algorithm for robust mixtures in the presence of measurement errors
Abstract--In experimental and observational sciences, detecting atypical, peculiar data from large sets of measurements has the potential of highlighting candidates of interesting ...
Jianyong Sun, Ata Kabán
PVLDB
2010
91views more  PVLDB 2010»
13 years 7 months ago
Regret-Minimizing Representative Databases
We propose the k-representative regret minimization query (k-regret) as an operation to support multi-criteria decision making. Like top-k, the k-regret query assumes that users h...
Danupon Nanongkai, Atish Das Sarma, Ashwin Lall, R...
IWANN
2009
Springer
14 years 3 months ago
ZARAMIT: A System for the Evolutionary Study of Human Mitochondrial DNA
Abstract. ZARAMIT is an information system capable of fully automated phylogeny reconstruction. Methods have been tailored to mitochondrial DNA sequences, with focus on subproblem ...
Roberto Blanco, Elvira Mayordomo
RECOMB
2007
Springer
14 years 9 months ago
Comparative Analysis of Spatial Patterns of Gene Expression in Drosophila melanogaster Imaginal Discs
Determining the precise spatial extent of expression of genes across different tissues, along with knowledge of the biochemical function of the genes is critical for understanding ...
Cyrus L. Harmon, Parvez Ahammad, Ann Hammonds, Ric...
PRL
2007
138views more  PRL 2007»
13 years 8 months ago
Ent-Boost: Boosting using entropy measures for robust object detection
Recently, boosting has come to be used widely in object-detection applications because of its impressive performance in both speed and accuracy. However, learning weak classifier...
Duy-Dinh Le, Shin'ichi Satoh