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Multiple Instance Learning: Foundations and Algorithms
Paperback
ISBN13: 9783319838151
Publisher: Springer
Published: Jun 29 2018
Pages: 233
Weight: 0.78
Height: 0.52 Width: 6.14 Depth: 9.21
Language: English
Additionally, multiple instance multiple label learning is explored. This learning framework introduces flexibility and ambiguity in the object representation providing a natural formulation for representing complicated objects. Thus, an object is represented by a bag of instances and is allowed to have associated multiple class labels simultaneously.
This book is suitable for developers and engineers working to apply MIL techniques to solve a variety of real-world problems. It is also useful for researchers or students seeking a thorough overview of MIL literature, methods, and tools.
1 different editions
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Multiple Instance Learning: Foundations and Algorithms
Bello, Rafael
Ventura, Sebastián
Herrera, Francisco
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