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» Informative sampling for large unbalanced data sets
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154
Voted
KDD
2006
ACM
130views Data Mining» more  KDD 2006»
16 years 4 months ago
Efficient anonymity-preserving data collection
The output of a data mining algorithm is only as good as its inputs, and individuals are often unwilling to provide accurate data about sensitive topics such as medical history an...
Justin Brickell, Vitaly Shmatikov
129
Voted
VISUALIZATION
2000
IEEE
15 years 8 months ago
Isosurfacing in higher dimensions
Visualization algorithms have seen substantial improvements in the past several years. However, very few algorithms have been developed for directly studying data in dimensions hi...
Praveen Bhaniramka, Rephael Wenger, Roger Crawfis
125
Voted
BMCBI
2011
14 years 10 months ago
Removing Noise From Pyrosequenced Amplicons
Background: In many environmental genomics applications a homologous region of DNA from a diverse sample is first amplified by PCR and then sequenced. The next generation sequenci...
Christopher Quince, Anders Lanzén, Russell ...
161
Voted
NECO
2011
14 years 10 months ago
Least Squares Estimation Without Priors or Supervision
Selection of an optimal estimator typically relies on either supervised training samples (pairs of measurements and their associated true values), or a prior probability model for...
Martin Raphan, Eero P. Simoncelli
140
Voted
FLAIRS
2004
15 years 5 months ago
Case-Based Reasoning in Support of Intelligence Analysis
Open source intelligence analysts routinely use the web as a source of information related to their specific taskings. Effective information gathering on the web, despite the prog...
Elizabeth T. Whitaker, Robert L. Simpson Jr.