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CCE
2006
13 years 10 months ago
Bayesian-based on-line applicability evaluation of neural network models in modeling automotive paint spray operations
The neural network (NN) models well trained and validated by the same data may exhibit noticeably different predictabilities in applications. This is mainly due to the fact that t...
Jia Li, Yinlun Huang
BMCBI
2007
156views more  BMCBI 2007»
13 years 10 months ago
Predictive modeling of plant messenger RNA polyadenylation sites
Background: One of the essential processing events during pre-mRNA maturation is the posttranscriptional addition of a polyadenine [poly(A)] tail. The 3'-end poly(A) track pr...
Guoli Ji, Jianti Zheng, Yingjia Shen, Xiaohui Wu, ...
WSC
2004
13 years 11 months ago
Simulation Input Updating Using Bayesian Techniques
Simulation built on assumption and approximation has been traditionally utilized to make predictions prior to construction. Although there are many benefits of simulation such as ...
Tae Hwan Chung, Yasser Mohamed, Simaan M. AbouRizk
INFORMS
2006
87views more  INFORMS 2006»
13 years 10 months ago
Early Estimates of the Size of Branch-and-Bound Trees
This paper intends to show that the time needed to solve mixed integer programming problems by branch and bound can be roughly predicted early in the solution process. We construc...
Gérard Cornuéjols, Miroslav Karamano...
DAGSTUHL
2006
13 years 11 months ago
Recent Results in Universal and Non-Universal Induction
We present and relate recent results in prediction based on countable classes of either probability (semi-)distributions or base predictors. Learning by Bayes, MDL, and stochastic ...
Jan Poland