Introduction to Semi-Supervised Learning
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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) where all the data are unlabeled, or in the supervised paradigm (e.g., classification, regression) where all the data are labeled. The goal of semi-supervised...
Format:Paperback
Language:English
ISBN:3031004205
ISBN13:9783031004209
Release Date:June 2009
Publisher:Springer
Length:116 Pages
Weight:0.53 lbs.
Dimensions:0.3" x 7.5" x 9.3"
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