Multiple Instance Learning Foundations and Algorithms /

Multiple Instance Learning Foundations and Algorithms /

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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς:	Herrera, Francisco (Συγγραφέας), Ventura, Sebastián (Συγγραφέας), Bello, Rafael (Συγγραφέας), Cornelis, Chris (Συγγραφέας), Zafra, Amelia (Συγγραφέας), Sánchez-Tarragó, Dánel (Συγγραφέας), Vluymans, Sarah (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή:	SpringerLink (Online service)
Μορφή:	Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:	English
Έκδοση:	Cham : Springer International Publishing : Imprint: Springer, 2016.
Θέματα:	Computer science. Algorithms. Artificial intelligence. Image processing. Computer Science. Artificial Intelligence (incl. Robotics). Image Processing and Computer Vision. Algorithm Analysis and Problem Complexity.
Διαθέσιμο Online:	Full Text via HEAL-Link

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