Predicting Structured Data Paperback / softback
Edited by Gokhan (Research Scientist, Google) BakIr, Thomas (Director of Engineering at Google's Engineering Center in Zurich, Adjunct Associate Hofmann, Bernhard (Director of the Max Planck Institute for Intelligent in Tubingen, Germany, Prof Scholkopf, Alexander J. Smola, Ben Taskar, S.V.N (Senior Researcher in the Statistical Machine Learning Program, National ICT Aus Vishwanathan
Part of the Predicting Structured Data series
Paperback / softback
Description
State-of-the-art algorithms and theory in a novel domain of machine learning, prediction when the output has structure. Machine learning develops intelligent computer systems that are able to generalize from previously seen examples.
A new domain of machine learning, in which the prediction must satisfy the additional constraints found in structured data, poses one of machine learning's greatest challenges: learning functional dependencies between arbitrary input and output domains.
This volume presents and analyzes the state of the art in machine learning algorithms and theory in this novel field.
The contributors discuss applications as diverse as machine translation, document markup, computational biology, and information extraction, among others, providing a timely overview of an exciting field.
Contributors Yasemin Altun, Goekhan Bakir, Olivier Bousquet, Sumit Chopra, Corinna Cortes, Hal Daume III, Ofer Dekel, Zoubin Ghahramani, Raia Hadsell, Thomas Hofmann, Fu Jie Huang, Yann LeCun, Tobias Mann, Daniel Marcu, David McAllester, Mehryar Mohri, William Stafford Noble, Fernando Perez-Cruz, Massimiliano Pontil, Marc'Aurelio Ranzato, Juho Rousu, Craig Saunders, Bernhard Schoelkopf, Matthias W.
Seeger, Shai Shalev-Shwartz, John Shawe-Taylor, Yoram Singer, Alexander J.
Smola, Sandor Szedmak, Ben Taskar, Ioannis Tsochantaridis, S.V.N Vishwanathan, Jason Weston
Information
-
Available to Order - This title is available to order, with delivery expected within 2 weeks
- Format:Paperback / softback
- Pages:360 pages, 61 fig/19 tbls illus.
- Publisher:MIT Press Ltd
- Publication Date:27/07/2007
- Category:
- ISBN:9780262528047
Information
-
Available to Order - This title is available to order, with delivery expected within 2 weeks
- Format:Paperback / softback
- Pages:360 pages, 61 fig/19 tbls illus.
- Publisher:MIT Press Ltd
- Publication Date:27/07/2007
- Category:
- ISBN:9780262528047