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Multi Kernel Classification Machine Universum by Zhu Changming (9 results)
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Multi-kernel Classification Machine with Universum learning
Language: English
Published by LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3659707937 ISBN 13: 9783659707933
Condition: New.
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Multi-kernel Classification Machine with Universum learning
Language: English
Published by LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3659707937 ISBN 13: 9783659707933
Condition: New.
-
Multi-kernel Classification Machine with Universum learning
Language: English
Published by LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3659707937 ISBN 13: 9783659707933
Condition: New.
-
Multi-kernel Classification Machine with Universum learning
Language: English
Published by LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3659707937 ISBN 13: 9783659707933
Paperback. Condition: Brand New. 56 pages. 8.66x5.91x0.13 inches. In Stock.
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Multi-kernel Classification Machine with Universum learning
Language: English
Published by LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3659707937 ISBN 13: 9783659707933
Taschenbuch. Condition: Neu. Multi-kernel Classification Machine with Universum learning | Changming Zhu | Taschenbuch | 56 S. | Englisch | 2017 | LAP LAMBERT Academic Publishing | EAN 9783659707933 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
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Multi-kernel Classification Machine with Universum learning
Language: English
Published by LAP LAMBERT Academic Publishing Mrz 2017, 2017
ISBN 10: 3659707937 ISBN 13: 9783659707933
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Universum learning can reflect priori knowledge about application domain and improve classification performances. Since multi-kernel classification machine with reduced complexity, i.e., NMKMHKS, has a high performance to reduce both the time and space complexities of multiple kernel learning (MKL), so we introduce Universum learning into NMKMHKS and propose a Universum-based NMKMHKS (Uni-NMKMHKS). 56 pp. Englisch.
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Multi-kernel Classification Machine with Universum learning
Language: English
Published by LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3659707937 ISBN 13: 9783659707933
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Zhu ChangmingChangming Zhu received the B.S degree and PHD degree in Department of Computer Science and Engineering, East China University of Science and Technology (ECUST), China, 2010 and 2015 respectively. Currently he is a teache.
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Multi-kernel Classification Machine with Universum learning
Language: English
Published by LAP LAMBERT Academic Publishing Mär 2017, 2017
ISBN 10: 3659707937 ISBN 13: 9783659707933
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Universum learning can reflect priori knowledge about application domain and improve classification performances. Since multi-kernel classification machine with reduced complexity, i.e., NMKMHKS, has a high performance to reduce both the time and space complexities of multiple kernel learning (MKL), so we introduce Universum learning into NMKMHKS and propose a Universum-based NMKMHKS (Uni-NMKMHKS).VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 56 pp. Englisch.
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Multi-kernel Classification Machine with Universum learning
Language: English
Published by LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3659707937 ISBN 13: 9783659707933
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Universum learning can reflect priori knowledge about application domain and improve classification performances. Since multi-kernel classification machine with reduced complexity, i.e., NMKMHKS, has a high performance to reduce both the time and space complexities of multiple kernel learning (MKL), so we introduce Universum learning into NMKMHKS and propose a Universum-based NMKMHKS (Uni-NMKMHKS).
