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NN
2006
Springer
163views Neural Networks» more  NN 2006»
13 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
JIRS
2007
116views more  JIRS 2007»
13 years 6 months ago
Recognition of Human Motion From Qualitative Normalised Templates
Abstract This paper proposes a Qualitative Normalised Templates (QNTs) framework for solving the human motion classification problem. In contrast to other human motion classifica...
Chee Seng Chan, Honghai Liu, David J. Brown
APIN
2004
97views more  APIN 2004»
13 years 6 months ago
FSfRT: Forecasting System for Red Tides
A hybrid neuro-symbolic problem-solving model is presented in which the aim is to forecast parameters of a complex and dynamic environment in an unsupervised way. In situations in ...
Florentino Fdez-Riverola, Juan M. Corchado
CCE
2004
13 years 6 months ago
Optimization under uncertainty: state-of-the-art and opportunities
A large number of problems in production planning and scheduling, location, transportation, finance, and engineering design require that decisions be made in the presence of uncer...
Nikolaos V. Sahinidis

Publication
372views
14 years 8 months ago
Multi-Objects Interpretation
We describe a general-purpose method for the accurate and robust interpretation of a data set of p-dimensional points by several deformable prototypes. This method is based on the ...
Jean-Philippe Tarel