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KES
2007
Springer
15 years 6 months ago
An Application of Machine Learning Methods to PM10 Level Medium-Term Prediction
The study described in this paper, analyzed the urban and suburban air pollution principal causes and identified the best subset of features (meteorological data and air pollutants...
Giovanni Raimondo, Alfonso Montuori, Walter Moniac...
ICIP
1999
IEEE
16 years 8 months ago
Distortion Analyses for Temporal Scalability Coding Techniques
A temporally scalable video coding algorithm allows extraction of video of multiple frame rates from a single coded stream. This paper compares the rate-distortion performance of ...
Sheila S. Hemami
ITS
2010
Springer
165views Multimedia» more  ITS 2010»
15 years 11 months ago
Metacognition and Learning in Spoken Dialogue Computer Tutoring
We investigate whether four metacognitive metrics derived from student correctness and uncertainty values are predictive of student learning in a fully automated spoken dialogue co...
Katherine Forbes-Riley, Diane J. Litman
FUZZY
1997
Springer
260views Fuzzy Logic» more  FUZZY 1997»
15 years 10 months ago
Forecasting Sales Using Neural Networks
Abstract. In this paper, neural networks trained with the back-propagation algorithm are applied to predict the future values of time series that consist of the weekly demand on it...
Frank M. Thiesing, Oliver Vornberger
COLT
2006
Springer
15 years 10 months ago
Continuous Experts and the Binning Algorithm
Abstract. We consider the design of online master algorithms for combining the predictions from a set of experts where the absolute loss of the master is to be close to the absolut...
Jacob Abernethy, John Langford, Manfred K. Warmuth