Improving the Detection of Noise Artifacts in Gravitational-Wave Data With a Classifier Graph

Improving the Detection of Noise Artifacts in Gravitational-Wave Data With a Classifier Graph

We propose a method for improving the classification performance of a classifier, termed the classifier graph, by embedding it in a graph of classifiers. Our graph-based method has the advantage of enabling delicate classification from different levels of interpretation and abstraction. For the prob...

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Bibliographic Details
Main Authors: Xi Zhang, Yingsheng Ji
Format: Article
Language:English
Published: IEEE 2017-01-01
Series:IEEE Access
Subjects:
Classification
branching program
support vector machine
ROC curve
gravitational waves
Online Access:https://ieeexplore.ieee.org/document/7882683/

Internet

https://ieeexplore.ieee.org/document/7882683/

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