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121
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BMCBI
2006
134views more  BMCBI 2006»
15 years 3 months ago
Application of machine learning in SNP discovery
Background: Single nucleotide polymorphisms (SNP) constitute more than 90% of the genetic variation, and hence can account for most trait differences among individuals in a given ...
Lakshmi K. Matukumalli, John J. Grefenstette, Davi...
131
Voted
VIS
2008
IEEE
161views Visualization» more  VIS 2008»
16 years 4 months ago
Brushing of Attribute Clouds for the Visualization of Multivariate Data
The visualization and exploration of multivariate data is still a challenging task. Methods either try to visualize all variables simultaneously at each position using glyph-based ...
Heike Jänicke, Michael Böttinger, Gerik Scheue...
146
Voted
ACL
2009
15 years 1 months ago
Updating a Name Tagger Using Contemporary Unlabeled Data
For many NLP tasks, including named entity tagging, semi-supervised learning has been proposed as a reasonable alternative to methods that require annotating large amounts of trai...
Cristina Mota, Ralph Grishman
174
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DAGSTUHL
2003
15 years 5 months ago
Logical Languages for Data Mining
Data mining focuses on the development of methods and algorithms for such tasks as classification, clustering, rule induction, and discovery of associations. In the database fiel...
Fosca Giannotti, Giuseppe Manco, Jef Wijsen
PKDD
2001
Springer
108views Data Mining» more  PKDD 2001»
15 years 8 months ago
Knowledge Discovery in Multi-label Phenotype Data
The biological sciences are undergoing an explosion in the amount of available data. New data analysis methods are needed to deal with the data. We present work using KDD to analys...
Amanda Clare, Ross D. King