PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Exploratory analysis of climate data using source separation methods
Alexander Ilin, Harri Valpola and Erkki Oja
Neural Networks Volume 19, pp. 155-167, 2006.

Abstract

A new source separation method called DSS is used to find interesting climate patterns from large scale global climate data

EPrint Type:Article
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Computational, Information-Theoretic Learning with Statistics
Learning/Statistics & Optimisation
Theory & Algorithms
Information Retrieval & Textual Information Access
ID Code:2550
Deposited By:Erkki Oja
Deposited On:22 November 2006

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