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CSDA
2008
158views more  CSDA 2008»
13 years 5 months ago
Outlier identification in high dimensions
A computationally fast procedure for identifying outliers is presented, that is particularly effective in high dimensions. This algorithm utilizes simple properties of principal c...
Peter Filzmoser, Ricardo A. Maronna, Mark Werner
CORR
2010
Springer
202views Education» more  CORR 2010»
13 years 5 months ago
The Complexity of Reasoning for Fragments of Autoepistemic Logic
Autoepistemic logic extends propositional logic by the modal operator L. A formula that is preceded by an L is said to be "believed". The logic was introduced by Moore ...
Nadia Creignou, Arne Meier, Michael Thomas, Heribe...
IJNSEC
2008
210views more  IJNSEC 2008»
13 years 5 months ago
A Method for Locating Digital Evidences with Outlier Detection Using Support Vector Machine
One of the biggest challenges facing digital investigators is the sheer volume of data that must be searched in locating the digital evidence. How to efficiently locate the eviden...
Zaiqiang Liu, Dongdai Lin, Fengdeng Guo
ICASSP
2010
IEEE
13 years 5 months ago
Direct importance estimation with probabilistic principal component analyzers
The importance estimation problem (estimating the ratio of two probability density functions) has recently gathered a great deal of attention for use in various applications, e.g....
Makoto Yamada, Masashi Sugiyama, Gordon Wichern
JSSPP
2009
Springer
13 years 12 months ago
Analyzing the EGEE Production Grid Workload: Application to Jobs Submission Optimization
Abstract. Grids reliability remains an order of magnitude below clusters on production infrastructures. This work is aimsed at improving grid application performances by improving ...
Diane Lingrand, Johan Montagnat, Janusz Martyniak,...