Anomaly detection methods for unmanned underwater vehicle performance data

Anomaly detection methods for unmanned underwater vehicle performance data

Thesis: S.M., Massachusetts Institute of Technology, Sloan School of Management, Operations Research Center, 2015. === Cataloged from PDF version of thesis. === Includes bibliographical references (pages 101-102). === This thesis considers the problem of detecting anomalies in performance data for u...

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Bibliographic Details
Main Author: Harris, William Ray
Other Authors: Michael J. Ricard and Cynthia Rudin.
Format: Others
Language:English
Published: Massachusetts Institute of Technology 2015
Subjects:
Operations Research Center.
Online Access:http://hdl.handle.net/1721.1/98718

Internet

http://hdl.handle.net/1721.1/98718

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