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» Do we need experts for time series forecasting
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ESANN
2008
13 years 7 months ago
Do we need experts for time series forecasting?
This study examines a selection of off-the-shelf forecasting and forecast combination algorithms with a focus on assessing their practical relevance by drawing conclusions for non-...
Christiane Lemke, Bogdan Gabrys
CORR
2011
Springer
213views Education» more  CORR 2011»
13 years 23 days ago
Adapting to Non-stationarity with Growing Expert Ensembles
Forecasting sequences by expert ensembles generally assumes stationary or near-stationary processes; however, in complex systems and many real-world applications, we are frequentl...
Cosma Rohilla Shalizi, Abigail Z. Jacobs, Aaron Cl...
EWSN
2006
Springer
14 years 5 months ago
PAQ: Time Series Forecasting for Approximate Query Answering in Sensor Networks
In this paper, we present a method for approximating the values of sensors in a wireless sensor network based on time series forecasting. More specifically, our approach relies on ...
Daniela Tulone, Samuel Madden
KDD
1998
ACM
190views Data Mining» more  KDD 1998»
13 years 10 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
TIT
2011
140views more  TIT 2011»
13 years 21 days 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