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...
Clasificación: | Libro Electrónico |
---|---|
Autores principales: | Herrera, Francisco (Autor), Ventura, Sebastián (Autor), Bello, Rafael (Autor), Cornelis, Chris (Autor), Zafra, Amelia (Autor), Sánchez-Tarragó, Dánel (Autor), Vluymans, Sarah (Autor) |
Autor Corporativo: | SpringerLink (Online service) |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
Cham :
Springer International Publishing : Imprint: Springer,
2016.
|
Edición: | 1st ed. 2016. |
Temas: | |
Acceso en línea: | Texto Completo |
Ejemplares similares
-
Open Problems in Spectral Dimensionality Reduction
por: Strange, Harry, et al.
Publicado: (2014) -
Multi-disciplinary Trends in Artificial Intelligence 7th International Workshop, MIWAI 2013, Krabi, Thailand, December 9-11, 2013, Proceedings /
Publicado: (2013) -
Adaptive and Natural Computing Algorithms 8th International Conference, ICANNGA 2007, Warsaw, Poland, April 11-14, 2007, Proceedings, Part I /
Publicado: (2007) -
Advances in Natural Computation First International Conference, ICNC 2005, Changsha, China, August 27-29, 2005, Proceedings, Part III /
Publicado: (2005) -
Intelligent Computing International Conference on Intelligent Computing, ICIC 2006, Kunming, China, August 16-19, 2006, Proceedings, Part I /
Publicado: (2006)