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MICCAI
2006
Springer
16 years 7 months ago
The Entire Regularization Path for the Support Vector Domain Description
Abstract. The support vector domain description is a one-class classification method that estimates the shape and extent of the distribution of a data set. This separates the data ...
Karl Sjöstrand, Rasmus Larsen
ICDM
2002
IEEE
133views Data Mining» more  ICDM 2002»
15 years 11 months ago
Learning with Progressive Transductive Support Vector Machine
Support vector machine (SVM) is a new learning method developed in recent years based on the foundations of statistical learning theory. By taking a transductive approach instead ...
Yisong Chen, Guoping Wang, Shihai Dong
AUTOMATICA
2011
14 years 10 months ago
Fast computation of minimal elementary decompositions of metabolic flux vectors
The concept of elementary flux vector is valuable in a number of applications of metabolic engineering. For instance, in metabolic flux analysis, each admissible flux vector ca...
Raphaël M. Jungers, Francisca Zamorano, Vince...
IACR
2011
129views more  IACR 2011»
14 years 6 months ago
Bounded Vector Signatures and their Applications
Although malleability is undesirable in traditional digital signatures, schemes with limited malleability properties enable interesting functionalities that may be impossible to o...
Lei Wei, Scott E. Coull, Michael K. Reiter
ICSE
2004
IEEE-ACM
16 years 6 months ago
A Framework for Ensuring and Improving Dependability in Highly Distributed Systems
A distributed software system's deployment architecture can have a significant impact on the system's dependability. Dependability is a function of various system paramet...
Sam Malek, Nels Beckman, Marija Mikic-Rakic, Nenad...