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Introduction to Semi-Supervised Learning

Semi-supervised learning is a learning paradigm concerned with the study of how computers and natural systems such as humans learn in the presence of both labeled and unlabeled data. Traditionally, learning has been studied either in the unsupervised paradigm (e.g., clustering, outlier detection) wh...

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Detalles Bibliográficos
Clasificación:	Libro Electrónico
Autores principales:	Zhu, Xiaojin (Autor), Goldberg, Andrew. B. (Autor)
Autor Corporativo:	SpringerLink (Online service)
Formato:	Electrónico eBook
Idioma:	Inglés
Publicado:	Cham : Springer International Publishing : Imprint: Springer, 2009.
Edición:	1st ed. 2009.
Colección:	Synthesis Lectures on Artificial Intelligence and Machine Learning,
Temas:	Artificial intelligence. Machine learning. Neural networks (Computer science) . Artificial Intelligence. Machine Learning. Mathematical Models of Cognitive Processes and Neural Networks.
Acceso en línea:	Texto Completo

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