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» Cost-Sensitive Analysis in Multiple Time Series Prediction
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ICONIP
2008
13 years 6 months ago
Time Series Analysis for Long Term Prediction of Human Movement Trajectories
This paper's intention is to adapt prediction algorithms well known in the field of time series analysis to problems being faced in the field of mobile robotics and Human-Robo...
Sven Hellbach, Julian Eggert, Edgar Körner, H...
EUSFLAT
2009
171views Fuzzy Logic» more  EUSFLAT 2009»
13 years 2 months ago
Time Series Analysis and Prediction Based on Fuzzy Rules and the Fuzzy Transform
Martin Stepnicka, Viktor Pavliska, Vilém No...
WILF
2007
Springer
170views Fuzzy Logic» more  WILF 2007»
13 years 11 months ago
Time-Series Alignment by Non-negative Multiple Generalized Canonical Correlation Analysis
Background: Quantitative analysis of differential protein expressions requires to align temporal elution measurements from liquid chromatography coupled to mass spectrometry (LC/M...
Bernd Fischer, Volker Roth, Joachim M. Buhmann
KDD
1998
ACM
190views Data Mining» more  KDD 1998»
13 years 9 months ago
Time Series Forecasting from High-Dimensional Data with Multiple Adaptive Layers
This paper describes our work in learning online models that forecast real-valued variables in a high-dimensional space. A 3GB database was collected by sampling 421 real-valued s...
R. Bharat Rao, Scott Rickard, Frans Coetzee
ESANN
2006
13 years 6 months ago
LS-SVM functional network for time series prediction
Usually time series prediction is done with regularly sampled data. In practice, however, the data available may be irregularly sampled. In this case the conventional prediction me...
Tuomas Kärnä, Fabrice Rossi, Amaury Lend...