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» Forecasting high-dimensional data
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WSC
2004
14 years 11 months ago
An Experimental Study on Forecasting Using TES Processes
Forecasting is of prime importance for accuracy in decision making. For data sets containing high autocorrelations, failure to account for temporal dependence will result in poor ...
Abdullah S. Karaman, Tayfur Altiok
IJON
2007
106views more  IJON 2007»
14 years 9 months ago
Forecasting the CATS benchmark with the Double Vector Quantization method
The Double Vector Quantization (DVQ) method, a long-term forecasting method based on the self-organizing maps algorithm, has been used to predict the 100 missing values of the CAT...
Geoffroy Simon, John Aldo Lee, Marie Cottrell, Mic...
ICAC
2008
IEEE
15 years 4 months ago
Towards a Self-Configurable Weather Research and Forecasting System
Current weather forecast and visualization systems lack the scalability to support numerous customized requests for weather research and forecasting, especially at the time of nat...
Khalid Saleem, Seyed Masoud Sadjadi, Shu-Ching Che...
CORR
2011
Springer
213views Education» more  CORR 2011»
14 years 4 months 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...
ICDM
2009
IEEE
176views Data Mining» more  ICDM 2009»
14 years 7 months ago
SISC: A Text Classification Approach Using Semi Supervised Subspace Clustering
Text classification poses some specific challenges. One such challenge is its high dimensionality where each document (data point) contains only a small subset of them. In this pap...
Mohammad Salim Ahmed, Latifur Khan