Predicting Structured Data
Published on 27. July 2007
Book
Paperback/Softback
360 pages
978-0-262-52804-7 (ISBN)
Description
State-of-the-art algorithms and theory in a novel domain of machine learning, prediction when the output has structure.
More details
Series
Language
English
Place of publication
Cambridge, Mass.
United States
Publishing group
MIT Press Ltd
Target group
Professional and scholarly
Interest Age: From 18 years
Product notice
Paperback (trade)
Illustrations
61 fig/19 tbls illus.
Dimensions
Height: 254 mm
Width: 203 mm
Thickness: 20 mm
Weight
776 gr
ISBN-13
978-0-262-52804-7 (9780262528047)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Goekhan BakIr | Thomas Hofmann | Bernhard Schoelkopf
Predicting Structured Data
Book
09/2007
MIT Press
€40.80
Article exhausted; check different version
Persons
S. V. N. Vishwanathan is an Assistant Professor of Statistics and Computer Science at Purdue University and Senior Researcher in the Statistical Machine Learning Program, National ICT Australia with an adjunct appointment at the Research School for Information Sciences and Engineering, Australian National University.
Editor
Research ScientistGoogle
Director of Engineering at Google's Engineering Center in Zurich, Adjunct Associate Professor of ComGoogle Switzerland
Director of the Max Planck Institute for Intelligent in Tuebingen, Germany, Professor for Machine LeaMax Planck Institute for Intelligent Systems
Senior Researcher in the Statistical Machine Learning Program, National ICT Australia with an adjunc