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JMLR
2006
87views more  JMLR 2006»
13 years 8 months ago
Second Order Cone Programming Approaches for Handling Missing and Uncertain Data
We propose a novel second order cone programming formulation for designing robust classifiers which can handle uncertainty in observations. Similar formulations are also derived f...
Pannagadatta K. Shivaswamy, Chiranjib Bhattacharyy...
EUSFLAT
2007
117views Fuzzy Logic» more  EUSFLAT 2007»
13 years 10 months ago
Transforming Probability Intervals into Other Uncertainty Models
Probability intervals are imprecise probability assignments over elementary events. They constitute a very convenient tool to model uncertain information : two common cases are co...
Sébastien Destercke, Didier Dubois, Eric Ch...
INFORMATICALT
2008
162views more  INFORMATICALT 2008»
13 years 8 months ago
Vague Rough Set Techniques for Uncertainty Processing in Relational Database Model
Abstract. The study of databases began with the design of efficient storage and data sharing techniques for large amount of data. This paper concerns the processing of imprecision ...
Karan Singh, Samajh Singh Thakur, Mangi Lal
SIAMSC
2011
219views more  SIAMSC 2011»
13 years 3 months ago
Fast Algorithms for Bayesian Uncertainty Quantification in Large-Scale Linear Inverse Problems Based on Low-Rank Partial Hessian
We consider the problem of estimating the uncertainty in large-scale linear statistical inverse problems with high-dimensional parameter spaces within the framework of Bayesian inf...
H. P. Flath, Lucas C. Wilcox, Volkan Akcelik, Judi...
SSD
2009
Springer
149views Database» more  SSD 2009»
14 years 3 months ago
Analyzing Trajectories Using Uncertainty and Background Information
A key issue in clustering data, regardless the algorithm used, is the definition of a distance function. In the case of trajectory data, different distance functions have been pro...
Bart Kuijpers, Bart Moelans, Walied Othman, Alejan...