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TSMC
2008
122views more  TSMC 2008»
15 years 6 months ago
A Geometric Approach to the Theory of Evidence
In this paper, we propose a geometric approach to the theory of evidence based on convex geometric interpretations of its two key notions of belief function (b.f.) and Dempster...
Fabio Cuzzolin
AUTOMATICA
2004
85views more  AUTOMATICA 2004»
15 years 6 months ago
Non-regular feedback linearization of nonlinear systems via a normal form algorithm
In this paper, the problem of non-regular static state feedback linearization of a ne nonlinear systems is considered. First of all, a new canonical form for non-regular feedback ...
Daizhan Cheng, Xiaoming Hu, Yuzhen Wang
SIAMJO
2002
149views more  SIAMJO 2002»
15 years 6 months ago
Semidefinite Programs: New Search Directions, Smoothing-Type Methods, and Numerical Results
Motivated by some results for linear programs and complementarity problems, this paper gives some new characterizations of the central path conditions for semidefinite programs. Ex...
Christian Kanzow, Christian Nagel
SCHEDULING
2008
97views more  SCHEDULING 2008»
15 years 6 months ago
Effective on-line algorithms for reliable due date quotation and large-scale scheduling
We consider the sequencing of a series of jobs that arrive at a single processor over time. At each job's arrival time, a due date must be quoted for the job, and the job must...
Philip Kaminsky, Zu-Hsu Lee
PKDD
2010
Springer
160views Data Mining» more  PKDD 2010»
15 years 5 months ago
Entropy and Margin Maximization for Structured Output Learning
Abstract. We consider the problem of training discriminative structured output predictors, such as conditional random fields (CRFs) and structured support vector machines (SSVMs)....
Patrick Pletscher, Cheng Soon Ong, Joachim M. Buhm...