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» Density Level Detection is Classification
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TNN
2010
148views Management» more  TNN 2010»
14 years 8 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
KDD
2004
ACM
139views Data Mining» more  KDD 2004»
16 years 1 months ago
Learning a complex metabolomic dataset using random forests and support vector machines
Metabolomics is the omics science of biochemistry. The associated data include the quantitative measurements of all small molecule metabolites in a biological sample. These datase...
Young Truong, Xiaodong Lin, Chris Beecher
DEXA
2006
Springer
197views Database» more  DEXA 2006»
15 years 3 months ago
Cleaning Web Pages for Effective Web Content Mining
Classifying and mining noise-free web pages will improve on accuracy of search results as well as search speed, and may benefit webpage organization applications (e.g., keyword-bas...
Jing Li, Christie I. Ezeife
BMCBI
2007
134views more  BMCBI 2007»
15 years 1 months ago
A framework for significance analysis of gene expression data using dimension reduction methods
Background: The most popular methods for significance analysis on microarray data are well suited to find genes differentially expressed across predefined categories. However, ide...
Lars Halvor Gidskehaug, Endre Anderssen, Arnar Fla...
CHI
2008
ACM
16 years 1 months ago
Rapid image analysis using neural signals
The problem of extracting information from large collections of imagery is a challenge with few good solutions. Computers typically cannot interpret imagery as effectively as huma...
Santosh Mathan, Deniz Erdogmus, Yonghong Huang, Mi...