Items related to Semi-supervised Learning (Adaptive Computation And...
Synopsis
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 taxonomy of the field, applications, benchmark experiments, and directions for future research.
In the field of machine learning, semi-supervised learning (SSL) occupies the middle ground, between supervised learning (in which all training examples are labeled) and unsupervised learning (in which no label data are given). Interest in SSL has increased in recent years, particularly because of application domains in which unlabeled data are plentiful, such as images, text, and bioinformatics. This first comprehensive overview of SSL presents state-of-the-art algorithms, a taxonomy of the field, selected applications, benchmark experiments, and perspectives on ongoing and future research.Semi-Supervised Learning first presents the key assumptions and ideas underlying the field: smoothness, cluster or low-density separation, manifold structure, and transduction. The core of the book is the presentation of SSL methods, organized according to algorithmic strategies. After an examination of generative models, the book describes algorithms that implement the low-density separation assumption, graph-based methods, and algorithms that perform two-step learning. The book then discusses SSL applications and offers guidelines for SSL practitioners by analyzing the results of extensive benchmark experiments. Finally, the book looks at interesting directions for SSL research. The book closes with a discussion of the relationship between semi-supervised learning and transduction.
"synopsis" may belong to another edition of this title.
About the Author
Olivier Chapelle is Senior Research Scientist in Machine Learning at Yahoo.
Review
In summary, reading this book is a delightful journey through semi-supervised learning.
(Hsun-Hsien Chang Computing Reviews)"About this title" may belong to another edition of this title.
- PublisherMit Pr
- Publication date2006
- ISBN 10 0262033585
- ISBN 13 9780262033589
- BindingHardcover
- LanguageEnglish
- Number of pages598
- EditorChapelle Olivier, Scholkopf Bernhard, Zien Alexander
- Rating
Search results for Semi-supervised Learning (Adaptive Computation And...
Stock Image
Semi-Supervised Learning (Adaptive Computation and Machine Learning series)
Seller: BookHolders, Towson, MD, U.S.A.
Seller rating 5 out of 5 stars
Condition: Very Good. [ No Hassle 30 Day Returns ][ Ships Daily ] [ Underlining/Highlighting: NONE ] [ Writing: NONE ] [ Edition: Reprint ] Publisher: The MIT Press Pub Date: 9/22/2006 Binding: Hardcover Pages: 528 Reprint edition. Seller Inventory # 6886040
Quantity: 1 available
Stock Image
Semi-Supervised Learning
Seller: Better World Books, Mishawaka, IN, U.S.A.
Seller rating 5 out of 5 stars
Condition: Good. Former library book; may include library markings. Used book that is in clean, average condition without any missing pages. Seller Inventory # 50947540-6
Quantity: 1 available
Stock Image
Semi-Supervised Learning (Adaptive Computation and Machine Learning series)
Seller: Grey Matter Books, Hadley, MA, U.S.A.
Seller rating 4 out of 5 stars
Hardcover. Condition: Fine. Dust Jacket Condition: Very Good. Fine, minute shelf wear to dust jacket, pages bright and smooth, all around a nice tight used copy. Seller Inventory # 003823
Quantity: 1 available
Seller Image
Semi-supervised Learning (Adaptive Computation And Machine Learning)
Seller: Zoom Books Company, Lynden, WA, U.S.A.
Seller rating 5 out of 5 stars
Condition: very_good. Book is in very good condition and may include minimal underlining highlighting. The book can also include "From the library of" labels. May not contain miscellaneous items toys, dvds, etc. . We offer 100% money back guarantee and 24 7 customer service. Seller Inventory # ZBV.0262033585.VG
Quantity: 1 available
Stock Image
Semi-Supervised Learning (Adaptive Computation and Machine Learning series)
Seller: HPB-Red, Dallas, TX, U.S.A.
Seller rating 5 out of 5 stars
hardcover. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority! Seller Inventory # S_374349454
Quantity: 1 available
Stock Image
Semi-supervised Learning (Adaptive Computation And Machine Learning)
Seller: thebookforest.com, San Rafael, CA, U.S.A.
Seller rating 4 out of 5 stars
Condition: VeryGood. Binding is unblemished, text block is clean, boards straight, without highlights or markings. Mild rubbing/chipping to dust wrapper edges. Very clean, nearly like new. Well packaged and promptly shipped from California. Partnered with Friends of the Library since 2010. Seller Inventory # 1LAUHV0025LY
Quantity: 1 available
Seller Image
Semi-supervised Learning (Adaptive Computation And Machine Learning)
Seller: Goodwill of Silicon Valley, SAN JOSE, CA, U.S.A.
Seller rating 4 out of 5 stars
Condition: very_good. Supports Goodwill of Silicon Valley job training programs. The cover and pages are in very good condition! The cover and any other included accessories are also in very good condition showing some minor use. The spine is straight, there are no rips tears or creases on the cover or the pages. Seller Inventory # GWSVV.0262033585.VG
Quantity: 1 available
Stock Image
Semi-Supervised Learning (Adaptive Computation and Machine Learning series)
Seller: dsmbooks, Liverpool, United Kingdom
Seller rating 4 out of 5 stars
Hardcover. Condition: Very Good. Very Good. book. Seller Inventory # D7S9-1-M-0262033585-4
Quantity: 1 available