A comprehensive review of an area of machine learning that deals with the use of unlabeled data in classification problems: state-of-the-art algorithms, a taxon

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 label

Semi-supervised learning is an important area of machine learning. It deals with problems that involve a lot of unlabeled data and very scarce labeled data. The

This handbook presents some of the most recent topics in neural information processing, covering both theoretical concepts and practical applications. The contr

This book is intended for academic and industrial developers, exploring and developing applications in the area of big data and machine learning, including thos