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» Cost-Sensitive Analysis in Multiple Time Series Prediction
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GECCO
2009
Springer
128views Optimization» more  GECCO 2009»
14 years 2 months ago
Neural network ensembles for time series forecasting
This work provides an analysis of using the evolutionary algorithm EPNet to create ensembles of artificial neural networks to solve a range of forecasting tasks. Several previous...
Victor M. Landassuri-Moreno, John A. Bullinaria
ICASSP
2008
IEEE
14 years 1 months ago
Doppler-variant modeling of the vocal tract
A common technique to deploy linear prediction to nonstationary signals is time segmentation and local analysis. In [1], the temporal changes of linear prediction coefficients (L...
Axel Heim, Uli Sorger, Florian Hug
APVIS
2008
13 years 9 months ago
Multiple Views on System Traces
We present a new method for the visual analysis of multivariate system traces. Our method combines three perspectives: (1) a schematic diagram, (2) time series plots and (3) a sta...
A. Johannes Pretorius, Jarke J. van Wijk
ECCV
2010
Springer
14 years 20 days ago
3D Reconstruction of a Moving Point from a Series of 2D Projections
This paper presents a linear solution for reconstructing the 3D trajectory of a moving point from its correspondence in a collection of 2D perspective images, given the 3D spatial ...
DAWAK
2008
Springer
13 years 9 months ago
Mining Serial Episode Rules with Time Lags over Multiple Data Streams
The problem of discovering episode rules from static databases has been studied for years due to its wide applications in prediction. In this paper, we make the first attempt to st...
Tung-Ying Lee, En Tzu Wang, Arbee L. P. Chen