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» Input Modeling Using Quantile Statistical Methods
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94
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WSC
2000
15 years 2 months ago
A real options design for quality control charts
We develop a financial model for a manufacturing process where quality can be affected by an assignable cause. We evaluate the options associated with applying a statistical proce...
Harriet Black Nembhard, Leyuan Shi, Mehmet Aktan
101
Voted
ML
2006
ACM
110views Machine Learning» more  ML 2006»
15 years 23 days ago
Distribution-based aggregation for relational learning with identifier attributes
Abstract Identifier attributes--very high-dimensional categorical attributes such as particular product ids or people's names--rarely are incorporated in statistical modeling....
Claudia Perlich, Foster J. Provost
110
Voted
COMPSAC
2009
IEEE
15 years 7 months ago
Reliability Modeling for the Advanced Electric Power Grid: A Proposal for Doctoral Research
The advanced electric power grid is a cyber-physical system comprised of physical components such as power generators and transmission lines, and cyber components that control the...
Ayman Z. Faza, Sahra Sedigh, Bruce M. McMillin
ACII
2005
Springer
15 years 2 months ago
The Bunch-Active Shape Model
Active Shape Model (ASM) is one of the most powerful statistical tools for face image alignment. In this paper, we propose a novel method, called Bunch-Active Shape Model (Bunch-AS...
Jingcai Fan, Hongxun Yao, Wen Gao, Yazhou Liu, Xin...
AMC
2006
79views more  AMC 2006»
15 years 26 days ago
VC-dimension and structural risk minimization for the analysis of nonlinear ecological models
The problem of distinguishing density-independent (DI) from density-dependent (DD) demographic time series is important for understanding the mechanisms that regulate populations ...
Giorgio Corani, Marino Gatto