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Published by Taylor & Francis Ltd, 2021
ISBN 10: 1032175788 ISBN 13: 9781032175782
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Published by Taylor & Francis Ltd, 2020
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Gebunden. Condition: New. Arun Reddy Nelakurthi is a Senior Engineer in Machine Learning Research at Samsung Research America, Mountain View, California. He received his PhD in Machine Learning from Arizona State University in 2019. His research focuses on hetero.
Published by Taylor & Francis Ltd Jan 2020, 2020
ISBN 10: 0367211580 ISBN 13: 9780367211585
Language: English
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Arun Reddy Nelakurthi is a Senior Engineer in Machine Learning Research at Samsung Research America, Mountain View, California. He received his PhD in Machine Learning from Arizona State University in 2019. His research focuses on hetero.
Taschenbuch. Condition: Neu. Social Media Analytics for User Behavior Modeling | A Task Heterogeneity Perspective | Arun Reddy Nelakurthi (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2021 | CRC Press | EAN 9781032175782 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Winner of the 'Outstanding Academic Title' recognition by Choice for the 2020 OAT Awards.The Choice OAT Award represents the highest caliber of scholarly titles that have been reviewed by Choice and conveys the extraordinary recognition of the academic community.In recent years social media has gained significant popularity and has become an essential medium of communication. Such user-generated content provides an excellent scenario for applying the metaphor of mining any information. Transfer learning is a research problem in machine learning that focuses on leveraging the knowledge gained while solving one problem and applying it to a different, but related problem.Features:Offers novel frameworks to study user behavior and for addressing and explaining task heterogeneityPresents a detailed study of existing researchProvides convergence and complexity analysis of the frameworksIncludes algorithms to implement the proposed research workCovers extensive empirical analysisSocial Media Analytics for User Behavior Modeling: A Task Heterogeneity Perspective is a guide to user behavior modeling in heterogeneous settings and is of great use to the machine learning community.