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Multiple Instance Learning: Foundations and Algorithms

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Multiple Instance Learning: Foundations and Algorithms - Herrera, Francisco, and Ventura, Sebastián, and Bello, Rafael
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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. This book carries out a study of the key ...

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Multiple Instance Learning: Foundations and Algorithms 2018, Springer, Cham

ISBN-13: 9783319838151

Trade paperback

Multiple Instance Learning: Foundations and Algorithms 2016, Springer International Publishing AG, Cham

ISBN-13: 9783319477589

Hardcover