Description: Predicting Structured Data, Paperback by Bakir, Gokhan (EDT); Hofmann, Thomas (EDT); Schölkopf, Bernhard (EDT); Smola, Alexander J. (EDT); Taskar, Ben (EDT), ISBN 0262528045, ISBN-13 9780262528047, Brand New, Free P&P in the UK 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, Gökhan Bakir, Olivier Bousquet, Sumit Chopra, Corinna Cortes, Hal Daumé 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 Pérez-Cruz, Massimiliano Pontil, Marc'Aurelio Ranzato, Juho Rousu, Craig Saunders, Bernhard Schölkopf, Matthias W. Seeger, Shai Shalev-Shwartz, John Shawe-Taylor, Yoram Singer, Alexander J. Smola, Sandor Szedmak, Ben Taskar, Ioannis Tsochantaridis, Vishwanathan, Jason Weston
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Book Title: Predicting Structured Data
Number of Pages: 362 Pages
Publication Name: Predicting Structured Data
Language: English
Publisher: Goekhan Bakir, Olivier Bousquet, Tobias Mann, Jason Weston, MIT Press LTD
Item Height: 254 mm
Subject: Computer Science
Publication Year: 2007
Type: Textbook
Author: Ben Taskar, Goekhan BakIr, Alexander J. Smola, Bernhard Schoelkopf, S.V.N Vishwanathan, Thomas Hofmann
Item Width: 203 mm
Series: Neural Information Processing Series
Format: Paperback
