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» Predictive Uncertainty in Environmental Modelling
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AUTOMATICA
2006
152views more  AUTOMATICA 2006»
13 years 7 months ago
Simulation-based optimization of process control policies for inventory management in supply chains
A simulation-based optimization framework involving simultaneous perturbation stochastic approximation (SPSA) is presented as a means for optimally specifying parameters of intern...
Jay D. Schwartz, Wenlin Wang, Daniel E. Rivera
CCE
2005
13 years 7 months ago
Selecting maximally informative genes
Microarray experiments are emerging as one of the main driving forces in modern biology. By allowing the simultaneous monitoring of the expression of the entire genome for a given...
Ioannis P. Androulakis
PDCAT
2005
Springer
14 years 1 months ago
A Scheduling Method for Divisible Workload Problem in Grid Environments
Scheduling divisible workloads in distributed systems has been one of the interesting research problems over the last few years. Most of the scheduling algorithms previously intro...
Nguyen The Loc, Said Elnaffar, Takuya Katayama, Tu...
TASLP
2010
133views more  TASLP 2010»
13 years 2 months ago
Unsupervised Equalization of Lombard Effect for Speech Recognition in Noisy Adverse Environments
In the presence of environmental noise, speakers tend to adjust their speech production in an effort to preserve intelligible communication. The noise-induced speech adjustments, c...
Hynek Boril, John H. L. Hansen
ICML
2005
IEEE
14 years 8 months ago
Healing the relevance vector machine through augmentation
The Relevance Vector Machine (RVM) is a sparse approximate Bayesian kernel method. It provides full predictive distributions for test cases. However, the predictive uncertainties ...
Carl Edward Rasmussen, Joaquin Quiñonero Ca...