Support Vector Machines and Perceptrons Learning, Optimization, Classification, and Application to Social Networks /
This work reviews the state of the art in SVM and perceptron classifiers. A Support Vector Machine (SVM) is easily the most popular tool for dealing with a variety of machine-learning tasks, including classification. SVMs are associated with maximizing the margin between two classes. The concerned o...
Clasificación: | Libro Electrónico |
---|---|
Autores principales: | Murty, M.N (Autor), Raghava, Rashmi (Autor) |
Autor Corporativo: | SpringerLink (Online service) |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
Cham :
Springer International Publishing : Imprint: Springer,
2016.
|
Edición: | 1st ed. 2016. |
Colección: | SpringerBriefs in Computer Science,
|
Temas: | |
Acceso en línea: | Texto Completo |
Ejemplares similares
-
Pattern Mining with Evolutionary Algorithms
por: Ventura, Sebastián, et al.
Publicado: (2016) -
Energy Minimization Methods in Computer Vision and Pattern Recognition 10th International Conference, EMMCVPR 2015, Hong Kong, China, January 13-16, 2015. Proceedings /
Publicado: (2015) -
Energy Minimization Methods in Computer Vision and Pattern Recognition 9th International Conference, EMMCVPR 2013, Lund, Sweden, August 19-21, 2013. Proceedings /
Publicado: (2013) -
Energy Minimization Methods in Computer Vision and Pattern Recognition 8th International Conference, EMMCVPR 2011, St. Petersburg, Russia, July 25-27, 2011, Proceedings /
Publicado: (2011) -
Compression Schemes for Mining Large Datasets A Machine Learning Perspective /
por: Ravindra Babu, T., et al.
Publicado: (2013)