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» Graph Mining based on a Data Partitioning Approach
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KDD
2009
ACM
193views Data Mining» more  KDD 2009»
15 years 10 months ago
Category detection using hierarchical mean shift
Many applications in surveillance, monitoring, scientific discovery, and data cleaning require the identification of anomalies. Although many methods have been developed to iden...
Pavan Vatturi, Weng-Keen Wong
ICDM
2009
IEEE
199views Data Mining» more  ICDM 2009»
15 years 10 months ago
Active Learning with Adaptive Heterogeneous Ensembles
—One common approach to active learning is to iteratively train a single classifier by choosing data points based on its uncertainty, but it is nontrivial to design uncertainty ...
Zhenyu Lu, Xindong Wu, Josh Bongard
KDD
2009
ACM
150views Data Mining» more  KDD 2009»
16 years 3 months ago
Information theoretic regularization for semi-supervised boosting
We present novel semi-supervised boosting algorithms that incrementally build linear combinations of weak classifiers through generic functional gradient descent using both labele...
Lei Zheng, Shaojun Wang, Yan Liu, Chi-Hoon Lee
127
Voted
ICDM
2009
IEEE
205views Data Mining» more  ICDM 2009»
15 years 10 months ago
Active Selection of Sensor Sites in Remote Sensing Applications
— In a data-mining approach, a model for estimation of Aerosol Optical Depth (AOD) from satellite observations is learned using collocated satellite and groundbased observations....
Debasish Das, Zoran Obradovic, Slobodan Vucetic
BMCBI
2007
130views more  BMCBI 2007»
15 years 3 months ago
Differential analysis for high density tiling microarray data
Background: High density oligonucleotide tiling arrays are an effective and powerful platform for conducting unbiased genome-wide studies. The ab initio probe selection method emp...
Srinka Ghosh, Heather A. Hirsch, Edward A. Sekinge...