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» Efficient Discovery of Confounders in Large Data Sets
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ICML
2009
IEEE
14 years 9 months ago
SimpleNPKL: simple non-parametric kernel learning
Previous studies of Non-Parametric Kernel (NPK) learning usually reduce to solving some Semi-Definite Programming (SDP) problem by a standard SDP solver. However, time complexity ...
Jinfeng Zhuang, Ivor W. Tsang, Steven C. H. Hoi
VDA
2010
186views Visualization» more  VDA 2010»
13 years 11 months ago
Tile-based parallel coordinates and its application in financial visualization
Parallel coordinates technique has been widely used in information visualization applications and it has achieved great success in visualizing multivariate data and perceiving the...
Jamal Alsakran, Ye Zhao, Xinlei Zhao
KDD
2008
ACM
264views Data Mining» more  KDD 2008»
14 years 9 months ago
Stable feature selection via dense feature groups
Many feature selection algorithms have been proposed in the past focusing on improving classification accuracy. In this work, we point out the importance of stable feature selecti...
Lei Yu, Chris H. Q. Ding, Steven Loscalzo
BMCBI
2007
134views more  BMCBI 2007»
13 years 9 months ago
PLAN: a web platform for automating high-throughput BLAST searches and for managing and mining results
Background: BLAST searches are widely used for sequence alignment. The search results are commonly adopted for various functional and comparative genomics tasks such as annotating...
Ji He, Xinbin Dai, Xuechun Zhao
KDD
2006
ACM
153views Data Mining» more  KDD 2006»
14 years 9 months ago
Semi-supervised time series classification
The problem of time series classification has attracted great interest in the last decade. However current research assumes the existence of large amounts of labeled training data...
Li Wei, Eamonn J. Keogh