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» Input Selection for Long-Term Prediction of Time Series
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88
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ICDM
2007
IEEE
121views Data Mining» more  ICDM 2007»
15 years 3 months ago
Finding Predictive Runs with LAPS
We present an extension to the Lasso [9] for binary classification problems with ordered attributes. Inspired by the Fused Lasso [8] and the Group Lasso [10, 4] models, we aim to...
Suhrid Balakrishnan, David Madigan
ESANN
2003
14 years 11 months ago
Self-organizing maps and functional networks for local dynamic modeling
The paper presents a method for times series prediction using a local dynamic modeling based on a three step process. In the first step the input data is embedded in a reconstruct...
Noelia Sánchez-Maroño, Oscar Fontenl...
79
Voted
KES
2010
Springer
14 years 8 months ago
Evolving takagi sugeno modelling with memory for slow processes
Evolving Takagi Sugeno (eTS) models are optimised for use in applications with high sampling rates. This mode of use produces excellent prediction results very quickly and with lo...
Simon McDonald, Plamen P. Angelov
88
Voted
ICARIS
2003
Springer
15 years 2 months ago
An Investigation of the Negative Selection Algorithm for Fault Detection in Refrigeration Systems
Supermarkets lose millions of pounds every year through lost trading and stock wastage caused by the failure of refrigerated cabinets. Therefore, a huge commercial market exists fo...
Dan W. Taylor, David Corne
SIGMETRICS
2012
ACM
248views Hardware» more  SIGMETRICS 2012»
12 years 12 months ago
Pricing cloud bandwidth reservations under demand uncertainty
In a public cloud, bandwidth is traditionally priced in a pay-asyou-go model. Reflecting the recent trend of augmenting cloud computing with bandwidth guarantees, we consider a n...
Di Niu, Chen Feng, Baochun Li