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» Input Modeling Using Quantile Statistical Methods
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BMCBI
2010
98views more  BMCBI 2010»
15 years 26 days ago
A semi-nonparametric mixture model for selecting functionally consistent proteins
Background: High-throughput technologies have led to a new era of proteomics. Although protein microarray experiments are becoming more common place there are a variety of experim...
Lianbo Yu, R. W. Doerge
EOR
2010
99views more  EOR 2010»
15 years 25 days ago
Mathematical programming models for revenue management under customer choice
We study a network airline revenue management problem with discrete customer choice behavior. We discuss a choice model based on the concept of preference orders, in which custome...
Lijian Chen, Tito Homem-de-Mello
JMLR
2011
142views more  JMLR 2011»
14 years 7 months ago
Causal Search in Structural Vector Autoregressive Models
This paper reviews a class of methods to perform causal inference in the framework of a structural vector autoregressive model. We consider three different settings. In the first ...
Alessio Moneta, Nadine Chlass, Doris Entner, Patri...
ICIP
2005
IEEE
16 years 2 months ago
Learning-based super-resolution of 3D face model
Super resolution technique could produce a higher resolution image than the originally captured one. However, nearly all super-resolution algorithms aim at 2D images. In this pape...
Shiqi Peng, Gang Pan, Zhaohui Wu
ASIAMS
2008
IEEE
15 years 2 months ago
Modeling Group Decision-Making for Collaborative Teams in Enterprises
Multicriteria analysis can be incorporated as a method to model preferences and facilitate decision making within a group of decision makers. In this paper we present a Group Deci...
George Rigopoulos, Nikolaos V. Karadimas, Alessand...