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A comparative study for the use of large margin classifies on seismic data

Drosou, Krystalleni, Artemiou, Andreas and Koukouvinos, Christos 2015. A comparative study for the use of large margin classifies on seismic data. Journal of Applied Statistics 42 (1) , pp. 180-201. 10.1080/02664763.2014.938619

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Abstract

In this work we present a study on the analysis of a large data set from seismology. A set of different large margin classifiers based on the well-known support vector machine (SVM) algorithm is used to classify the data into two classes based on their magnitude on the Richter scale. Due to the imbalance of nature between the two classes reweighing techniques are used to show the importance of reweighing algorithms. Moreover, we present an incremental algorithm to explore the possibility of predicting the strength of an earthquake with incremental techniques.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Mathematics
Subjects: Q Science > QA Mathematics
Publisher: Taylor and Francis
ISSN: 0266-4763
Funders: Captain Fanourakis Foundation and State Scholarships Foundation
Date of Acceptance: 23 June 2014
Last Modified: 13 Mar 2019 12:24
URI: http://orca.cf.ac.uk/id/eprint/61853

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