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» Computing the median with uncertainty
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NN
2006
Springer
163views Neural Networks» more  NN 2006»
14 years 10 months ago
Machine learning approaches for estimation of prediction interval for the model output
A novel method for estimating prediction uncertainty using machine learning techniques is presented. Uncertainty is expressed in the form of the two quantiles (constituting the pr...
Durga L. Shrestha, Dimitri P. Solomatine
CCE
2004
14 years 9 months ago
Dynamic programming in a heuristically confined state space: a stochastic resource-constrained project scheduling application
The Resource-Constrained Project Scheduling Problem(RCPSP) is a significant challenge in highly regulated industries, such as pharmaceuticals and agrochemicals, where a large numb...
Jaein Choi, Matthew J. Realff, Jay H. Lee
PVLDB
2010
97views more  PVLDB 2010»
14 years 8 months ago
Ranking Continuous Probabilistic Datasets
Ranking is a fundamental operation in data analysis and decision support, and plays an even more crucial role if the dataset being explored exhibits uncertainty. This has led to m...
Jian Li, Amol Deshpande
TIM
2010
144views Education» more  TIM 2010»
14 years 4 months ago
Extending Polynomial Chaos to Include Interval Analysis
Polynomial chaos theory (PCT) has been proven to be an efficient and effective way to represent and propagate uncertainty through system models and algorithms in general. In partic...
Antonello Monti, Ferdinanda Ponci, Marco Valtorta
MSOM
2011
14 years 24 days ago
Volume Flexibility, Product Flexibility, or Both: The Role of Demand Correlation and Product Substitution
We analyze volume flexibility — the ability to produce above/below the installed capacity for a product — under endogenous pricing in a two-product setting. We discover that ...
Manu Goyal, Serguei Netessine