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More Than Semi-supervised Learning  A unified view on Learning wi - Michael R. Lyu, Irwin King, Zenglin Xu
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Michael R. Lyu, Irwin King, Zenglin Xu:

More Than Semi-supervised Learning A unified view on Learning wi - Livres de poche

ISBN: 9783843379106

by Zenglin Xu, Irwin King, Michael R. Lyu | Paperback, Author: Zenglin Xu, Irwin King, Michael R. Lyu Language: EnglishBinding: PaperbackPages: 132Publisher: LAP LAMBERT Academic Publishi… Plus…

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More Than Semi-supervised Learning : A unified view on Learning with Labeled and Unlabeled Data - Zenglin Xu
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Zenglin Xu:

More Than Semi-supervised Learning : A unified view on Learning with Labeled and Unlabeled Data - Livres de poche

2010, ISBN: 3843379106

[EAN: 9783843379106], Neubuch, [PU: LAP LAMBERT Academic Publishing], nach der Bestellung gedruckt Neuware - Printed after ordering - Semi-supervised learning (SSL) has grown into an impo… Plus…

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More Than Semi-supervised Learning: A unified view on Learning with Labeled and Unlabeled Data - Xu, Zenglin, King, Irwin, R. Lyu, Michael
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Xu, Zenglin, King, Irwin, R. Lyu, Michael:
More Than Semi-supervised Learning: A unified view on Learning with Labeled and Unlabeled Data - Livres de poche

2010

ISBN: 9783843379106

LAP LAMBERT Academic Publishing, Taschenbuch, 132 Seiten, Publiziert: 2010-12-28T00:00:01Z, Produktgruppe: Buch, 0.45 kg, Computer & Internet, Kategorien, Bücher, Ingenieurwissenschaft & … Plus…

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Zenglin Xu, Irwin King, Michael R. Lyu:
More Than Semi-Supervised Learning: a Unified View on Learning With Labeled and Unlabeled Data - Livres de poche

2010, ISBN: 9783843379106

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Zenglin Xu:
More Than Semi-Supervised Learning - Livres de poche

ISBN: 9783843379106

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More Than Semi-supervised Learning: A unified view on Learning with Labeled and Unlabeled Data

Semi-supervised learning (SSL) has grown into an important research area in machine learning, motivated by the fact that human labeling is expensive while unlabeled data are relatively easy to obtain. A basic assumption in traditional SSL is that unlabeled data and labeled data share the same distribution. However, this assumption may be incorrect when unlabeled data have a shifted covariance, or come from a related but different domain, or contain irrelevant data. With the divergence of the distribution of unlabeled data, very little academic literature exists on how to choose or adapt machine learning algorithms to different settings of unlabeled data. This book, therefore, introduces a new unified view on learning with different settings of unlabeled data. This book consists of two parts: the first part analyzes the fundamental assumptions of SSL and proposes a few efficient SSL algorithms; the second part discusses three learning frameworks to deal with other settings of unlabeled data. This book should be helpful to researchers or graduate students in areas with abundance of unlabeled data, such as computer vision, bioinformatics, web mining, and natural language processing.

Informations détaillées sur le livre - More Than Semi-supervised Learning: A unified view on Learning with Labeled and Unlabeled Data


EAN (ISBN-13): 9783843379106
ISBN (ISBN-10): 3843379106
Version reliée
Livre de poche
Date de parution: 2010
Editeur: LAP LAMBERT Academic Publishing
132 Pages
Poids: 0,210 kg
Langue: eng/Englisch

Livre dans la base de données depuis 2009-03-31T22:26:44+02:00 (Zurich)
Page de détail modifiée en dernier sur 2023-06-08T01:01:05+02:00 (Zurich)
ISBN/EAN: 9783843379106

ISBN - Autres types d'écriture:
3-8433-7910-6, 978-3-8433-7910-6
Autres types d'écriture et termes associés:
Auteur du livre: king, irwin
Titre du livre: more than, learning


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