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NPL
2011
12 years 10 months ago
A Neural Network Scheme for Long-Term Forecasting of Chaotic Time Series
The accuracy of a model to forecast a time series diminishes as the prediction horizon increases, in particular when the prediction is carried out recursively. Such decay is faster...
Pilar Gómez-Gil, Juan Manuel Ramírez...
IGARSS
2009
13 years 5 months ago
Improving NDVI Time Series Class Separation using an Extended Kalman Filter
It is proposed that the NDVI time series derived from MODIS multitemporal remote sensing data can be modelled as a triply (mean, phase and amplitude) modulated cosine function. A ...
Waldo Kleynhans, J. Corne Olivier, Brian P. Salmon...
ICC
2007
IEEE
103views Communications» more  ICC 2007»
14 years 1 months ago
Modeling Channel Occupancy Times for Voice Traffic in Cellular Networks
—Call holding times in telephony networks are commonly approximated by exponential distributions to facilitate traffic engineering. However, for traffic engineering of cellular n...
Emre A. Yavuz, Victor C. M. Leung
COMPGEOM
1997
ACM
13 years 11 months ago
Time-Series Similarity Problems and Well-Separated Geometric Sets
Given a pair of nonidentical complex objects, de ning and determining how similar they are to each other is a nontrivial problem. In data mining applications, one frequently nee...
Béla Bollobás, Gautam Das, Dimitrios...
TIT
2011
140views more  TIT 2011»
13 years 2 months ago
Sequential Quantile Prediction of Time Series
Motivated by a broad range of potential applications, we address the quantile prediction problem of real-valued time series. We present a sequential quantile forecasting model bas...
Gérard Biau, Benoît Patra