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NN
2006
Springer
163views Neural Networks» more  NN 2006»
15 years 6 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
AUTOMATICA
2005
112views more  AUTOMATICA 2005»
15 years 6 months ago
Robust maximum-likelihood estimation of multivariable dynamic systems
This paper examines the problem of estimating linear time-invariant state-space system models. In particular it addresses the parametrization and numerical robustness concerns tha...
Stuart Gibson, Brett Ninness
AI
2002
Springer
15 years 6 months ago
Multiagent learning using a variable learning rate
Learning to act in a multiagent environment is a difficult problem since the normal definition of an optimal policy no longer applies. The optimal policy at any moment depends on ...
Michael H. Bowling, Manuela M. Veloso
IJUFKS
2002
78views more  IJUFKS 2002»
15 years 6 months ago
On the Security of Microaggregation with Individual Ranking: Analytical Attacks
Microaggregation is a statistical disclosure control technique. Raw microdata (i.e. individual records) are grouped into small aggregates prior to publication. With fixed-size grou...
Josep Domingo-Ferrer, Josep Maria Mateo-Sanz, Anna...
ARTMED
1999
56views more  ARTMED 1999»
15 years 6 months ago
Refining instructional text generation after evaluation
In this paper, we describe how user-adapted explanations about drug prescriptions can be generated from already existing data sources. We start by illustrating the two-step approa...
Fiorella de Rosis, Floriana Grasso, Dianne C. Berr...