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» Separating Populations with Wide Data: A Spectral Analysis
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97
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KDD
2012
ACM
197views Data Mining» more  KDD 2012»
12 years 12 months ago
On the separability of structural classes of communities
Three major factors govern the intricacies of community extraction in networks: (1) the application domain includes a wide variety of networks of fundamentally different natures,...
Bruno D. Abrahao, Sucheta Soundarajan, John E. Hop...
98
Voted
BMCBI
2007
157views more  BMCBI 2007»
14 years 9 months ago
Statistical learning of peptide retention behavior in chromatographic separations: a new kernel-based approach for computational
Background: High-throughput peptide and protein identification technologies have benefited tremendously from strategies based on tandem mass spectrometry (MS/MS) in combination wi...
Nico Pfeifer, Andreas Leinenbach, Christian G. Hub...
ECIS
2000
14 years 10 months ago
Community Health Assessments: A Data Warehousing Approach
- The measurement and assessment of health status in communities throughout the world is a massive information technology challenge. The Comprehensive Assessment for Tracking Commu...
Donald J. Berndt, Alan R. Hevner, James Studnicki
JMLR
2010
211views more  JMLR 2010»
14 years 4 months ago
Minimum Conditional Entropy Clustering: A Discriminative Framework for Clustering
In this paper, we introduce an assumption which makes it possible to extend the learning ability of discriminative model to unsupervised setting. We propose an informationtheoreti...
Bo Dai, Baogang Hu
ADAC
2010
105views more  ADAC 2010»
14 years 9 months ago
Inference for robust canonical variate analysis
We consider the problem of optimally separating two multivariate populations. Robust linear discriminant rules can be obtained by replacing the empirical means and covariance in th...
Stefan Van Aelst, Gert Willems