A New Modeling for Knowledge Transfer in Machine Learning: Minimum Enclosing Ball-based Learner Independent Knowledge Transfer for Correlated Multi-task Learning - Softcover

Liu, Fan

 
9783844397321: A New Modeling for Knowledge Transfer in Machine Learning: Minimum Enclosing Ball-based Learner Independent Knowledge Transfer for Correlated Multi-task Learning
Softcover
ISBN 10: 3844397329 ISBN 13: 9783844397321
Verlag: LAP LAMBERT Academic Publishing, 2011

Inhaltsangabe

Multi-Task Learning (MTL), as opposed to Single Task Learning (STL), has become a hot topic in machine learning research. MTL has shown significant advantage to STL because of its ability to facilitate knowledge sharing between tasks. This thesis presents my recent studies on Knowledge Transfer (KT) – the process of transferring knowledge from one task to another, which is at the core of MTL. The novelly proposed KT algorithm for correlated MTL adapts learner independence, thus empowering any ordinary classifier for MTL. The proposed MEB-based KT is on the basis that in the feature space, the two correlated tasks share some common input data that lie on the overlapping regions of the feature spaces in-between the two correlated tasks. The main idea is to find the correlating knowledge – overlapping regions of the two tasks – and transfer the related data regardless of the learner employed. KT is done by building a correlation space via MEBs and transferring the enclosed instances from the primary task to the secondary task. The extent of KT depends on the amount of overlapping instances between two tasks. This book is required reading for post-graduates and researchers in MTL.

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Über die Autorin bzw. den Autor

Fan Liu has received a MCIS at AUT, New Zealand, in 2011. The MCIS research focuses on Co-Learning Multi-Task Pattern Recognition using Minimum Enclosing Balls. Fan has been awarded a scholarship in connection with the NICT Project that KEDRI is involved with. Currently, Fan is a Doctoral Candidate and interested in Swarm Intelligence for Robotics.

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Verlag
LAP LAMBERT Academic Publishing
Erscheinungsdatum
2011
Sprache
Englisch
ISBN 10 
3844397329
ISBN 13 
9783844397321
Einband
Taschenbuch
Anzahl der Seiten
88
Kontakt zum Hersteller
Nicht verfügbar
Verantwortliche Person
Dictus Publishing
Customerservice@vdm-vsg.de

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Riga
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