Comparing Gaussian processes and artificial neural networks for forecasting

Proceedings of the 9th Joint Conference on Information Sciences, JCIS 2006

Volumn 2006, Issue , 2006, Pages

  Wang, Tzai Der ^a   Chuang, Shang Jen ^a   Fyfe, Colin ^a  

^a UNIVERSITY OF THE WEST OF SCOTLAND   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

FORECASTING; GAUSSIAN DISTRIBUTION; INFORMATION SCIENCE;

GAUSSIAN PROCESSES;

NEURAL NETWORKS;

EID: 33847727387     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.2991/jcis.2006.7     Document Type: Conference Paper

References (6)

1. C. Chatfield. Time-series Forecasting. Chapman and Hall, 2001.
2. S. Haykin. Neural Networks- A Comprehensive Foundation. Macmillan, 1994.
3. D. J. C. MacKay. Introduction to gaussian processes. Technical report, University of Cambridge, http://www.inference.phy.cam.uk/mackay/gpB.pdf, 1997.
4. C. E. Rasmussen. Advanced Lectures on Machine Learning, chapter Gaussian Processes in Machine Learning, pages 63-71. 2003.
5. C. E. Rasmussen and C. K. I. Williams. Gaussian Processes for Machine Learning. MIT Press, 2006.
6. C. K. I. Williams. Prediction with gaussian processes: from linear regression to linear prediction and beyond. Technical report, Aston University, 1997.