Predicting Structured Data

Informationen zum Autor 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. Klappentext State-of-the-art algorithms and theory in a novel domain of machine learning, prediction when the output has structure. Zusammenfassung State-of-the-art algorithms and theory in a novel domain of machine learning! prediction when the output has structure.

Product details

• Authors: Gokhan Hofmann Bakir
• Assisted by: Goekhan (Research Scientist BakIr (Editor), Gokhan Bakir (Editor), Gökhan Bakir (Editor), Thomas Hofmann (Editor), Thomas (Director of Engineering at Google's Engineering Center in Zurich Hofmann (Editor), Bernhard (Director of the Max Planck Institute for Intelligent in Tubingen Schoelkopf (Editor), Bernhard Scholkopf (Editor), Bernhard Schölkopf (Editor), Alexander J. Smola (Editor), Ben Taskar (Editor), S. V. N. Vishwanathan (Editor), S.V.N (Senior Researcher in the Statistical Machine Learning Program Vishwanathan (Editor)
• Publisher: The MIT Press
• Languages: English
• Product format: Paperback / Softback
• Released: 27.07.2007
• EAN: 9780262528047
• ISBN: 978-0-262-52804-7
• No. of pages: 362
• Series: Neural Information Processing Series; Predicting Structured Data; Neural Information Processing series; Neural Information Processing
• Subjects: Natural sciences, medicine, IT, technology > IT, data processing > IT; Algorithmen und Datenstrukturen, COMPUTERS / Neural Networks, COMPUTERS / Programming / Algorithms, Computers - Communications / Networking, COMPUTERS / Machine Theory