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» Efficient Discovery of Confounders in Large Data Sets
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VIS
2004
IEEE
145views Visualization» more  VIS 2004»
14 years 11 months ago
Compression, Segmentation, and Modeling of Large-Scale Filamentary Volumetric Data
We describe a method for processing large amounts of volumetric data collected from a Knife Edge Scanning Microscope (KESM). The neuronal data that we acquire consists of thin, br...
Bruce H. McCormick, David Mayerich, John Keyser, P...
ROCAI
2004
Springer
14 years 3 months ago
ROC Analysis of Example Weighting in Subgroup Discovery
This paper presents two new ways of example weighting for subgroup discovery. The proposed example weighting schemes are applicable to any subgroup discovery algorithm that uses th...
Branko Kavsek, Nada Lavrac, Ljupco Todorovski
PKDD
2010
Springer
164views Data Mining» more  PKDD 2010»
13 years 8 months ago
Efficient Planning in Large POMDPs through Policy Graph Based Factorized Approximations
Partially observable Markov decision processes (POMDPs) are widely used for planning under uncertainty. In many applications, the huge size of the POMDP state space makes straightf...
Joni Pajarinen, Jaakko Peltonen, Ari Hottinen, Mik...
CIKM
2008
Springer
14 years 10 days ago
Scalable community discovery on textual data with relations
Every piece of textual data is generated as a method to convey its authors' opinion regarding specific topics. Authors deliberately organize their writings and create links, ...
Huajing Li, Zaiqing Nie, Wang-Chien Lee, C. Lee Gi...
VDA
2010
206views Visualization» more  VDA 2010»
14 years 23 days ago
Visual discovery in multivariate binary data
This paper presents the concept of Monotone Boolean Function Visual Analytics (MBFVA) and its application to the medical domain. The medical application is concerned with discover...
Boris Kovalerchuk, Florian Delizy, Logan Riggs, Ev...