Login / Signup
Fast and low cost prediction of extreme air pollution values with hybrid unsupervised learning.
Ilias Bougoudis
Konstantinos Demertzis
Lazaros S. Iliadis
Published in:
Integr. Comput. Aided Eng. (2016)
Keyphrases
</>
air pollution
unsupervised learning
low cost
extreme values
air quality
prediction accuracy
supervised learning
image processing
feature selection
semi supervised
dimensionality reduction
maximum likelihood
expectation maximization
model selection
traffic volume