Predicting Structured Data - Neural Information Processing series (Hardback)
  • Predicting Structured Data - Neural Information Processing series (Hardback)
zoom

Predicting Structured Data - Neural Information Processing series (Hardback)

(editor), (editor), (editor), (editor), (editor), (editor)
£32.95
Hardback 360 Pages
Published: 01/09/2007

This product is currently unavailable.

  • This item has been added to your basket
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, Gokhan Bakir [no dot over i], 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 Scholkopf, 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 Gokhan Bakir [no dot over i] is Research Scientist at the Max Planck Institute for Biological Cybernetics in Tubingen, Germany. Thomas Hofmann is a Director of Engineering at Google's Engineering Center in Zurich and Adjunct Associate Professor of Computer Science at Brown University. Bernhard Scholkopf is Director of the Max Planck Institute for Biological Cybernetics and Professor at the Technical University Berlin. Alexander J. Smola is Senior Principal Researcher and Machine Learning Program Leader at National ICT Australia/Australian National University, Canberra. Ben Taskar is Assistant Professor in the Computer and Information Science Department at the University of Pennsylvania. S. V. N. Vishwanathan is 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.

Publisher: MIT Press Ltd
ISBN: 9780262026178
Number of pages: 360
Weight: 930 g
Dimensions: 254 x 203 x 15 mm

You may also be interested in...

Machine Learning for Hackers
Added to basket
Thoughtful Machine Learning
Added to basket
Understanding Machine Learning
Added to basket
Web Data Mining
Added to basket
£69.99
Hardback
Machine Learning
Added to basket
£100.00
Hardback
Bayesian Reasoning and Machine Learning
Added to basket
Machine Learning
Added to basket
Machine Learning
Added to basket
£42.99
Paperback
Deep Learning
Added to basket
£47.99
Paperback
Machine Learning
Added to basket
£37.99
Paperback

Please sign in to write a review

Your review has been submitted successfully.

env: aptum
branch: