Semi-supervised learning /
A comprehensive review of an area of machine learning that deals with the use of unlabeled data in classification problems, this text looks at state-of-the-art algorithms, applications benchmark experiments, and directions for future research.
Clasificación: | Libro Electrónico |
---|---|
Otros Autores: | Chapelle, Olivier, Schölkopf, Bernhard, Zien, Alexander |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
Cambridge, Mass. :
MIT Press,
©2006.
|
Colección: | Adaptive computation and machine learning.
|
Temas: | |
Acceso en línea: | Texto completo |
Ejemplares similares
-
Semi-supervised learning /
Publicado: (2006) -
Boosting : foundations and algorithms /
por: Schapire, Robert E.
Publicado: (2012) -
Semi-supervised learning : background, applications and future directions /
Publicado: (2018) -
Dataset shift in machine learning /
Publicado: (2009) -
Dataset shift in machine learning /
Publicado: (2009)