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Multiple Instance Learning
Foundations and Algorithms
Langbeschreibung
This book provides a general overview of multiple instance learning (MIL), defining the framework and covering the central paradigms. The authors discuss the most important algorithms for MIL such as classification, regression and clustering. With a focus on classification, a taxonomy is set and the most relevant proposals are specified. Efficient algorithms are developed to discover relevant information when working with uncertainty. Key representative applications are included.
Inhaltsverzeichnis
Introduction.- Multiple Instance Learning.- Multi-Instance Classification.- Instance-Based Classification Methods.- Bag-Based Classification Methods.- Multi-Instance Regression.- Unsupervised Multiple Instance Learning.- Data Reduction.- Imbalance Multi-Instance Data.- Multiple Instance Multiple Label Learning.
ISBN-13:
9783319477596
Veröffentl:
2016
Seiten:
233
Autor:
Francisco Herrera
eBook Typ:
PDF
eBook Format:
EPUB
Kopierschutz:
1 - PDF Watermark
Sprache:
Englisch
96,29 €*
Lieferzeit: Sofort lieferbar
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