Predicting Structured Data Contributor(s): Bakir, Gokhan (Editor), Hofmann, Thomas (Editor), Scholkopf, Bernhard (Editor) |
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ISBN: 0262528045 ISBN-13: 9780262528047 Publisher: MIT Press OUR PRICE: $44.55 Product Type: Paperback Published: July 2007 |
Additional Information |
BISAC Categories: - Computers | Neural Networks - Computers | Machine Theory - Computers | Programming - Algorithms |
Dewey: 006.312 |
Series: Neural Information Processing |
Physical Information: 0.75" H x 8" W x 10" (1.58 lbs) 362 pages |
Descriptions, Reviews, Etc. |
Publisher 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 |
Contributor Bio(s): Hofmann, Thomas: - Thomas Hofmann is a Director of Engineering at Google's Engineering Center in Zurich and Adjunct Associate Professor of Computer Science at Brown University.Smola, Alexander J.: - Alexander J. Smola is Senior Principal Researcher and Machine Learning Program Leader at National ICT Australia/Australian National University, Canberra.Scholkopf, Bernhard: - Bernhard Schölkopf is Director at the Max Planck Institute for Intelligent Systems in Tübingen, Germany. He is coauthor of Learning with Kernels (2002) and is a coeditor of Advances in Kernel Methods: Support Vector Learning (1998), Advances in Large-Margin Classifiers (2000), and Kernel Methods in Computational Biology (2004), all published by the MIT Press.Scholkopf, Bernhard: - Bernhard Schölkopf is Director at the Max Planck Institute for Intelligent Systems in Tübingen, Germany. He is coauthor of Learning with Kernels (2002) and is a coeditor of Advances in Kernel Methods: Support Vector Learning (1998), Advances in Large-Margin Classifiers (2000), and Kernel Methods in Computational Biology (2004), all published by the MIT Press.Bakir, Gokhan: - Gökhan Bakir is Research Scientist at the Max Planck Institute for Biological Cybernetics in Tübingen, Germany.Weston, Jason: - Jason Weston is a Research Scientist at NEC Labs America.Bakir, Gokhan: - Gökhan Bakir is Research Scientist at the Max Planck Institute for Biological Cybernetics in Tübingen, Germany.Mohri, Mehryar: - Mehryar Mohri is Professor of Computer Science at New York University's Courant Institute of Mathematical Sciences and a Research Consultant at Google Research.Marcu, Daniel: - Daniel Marcu is Director of Strategic Initiatives at the Information Sciences Institute and Research Associate Professor in the Department of Computer Science at the University of Southern California.McAllester, David A.: - David A McAllester is an Assistant Professor of Computer Science at MIT.Jordan, Michael I.: - Michael I. Jordan is Professor of Computer Science and of Statistics at the University of California, Berkeley, and recipient of the ACM/AAAI Allen Newell Award.Dietterich, Thomas G.: - Thomas G. Dietterich is Professor of Computer Science at Oregon State University.Hofmann, Thomas: - Thomas Hofmann is a Director of Engineering at Google's Engineering Center in Zurich and Adjunct Associate Professor of Computer Science at Brown University.Lecun, Yann: - Yann LeCun is Head of the Image Processing Research Department at AT&T Labs-Research.Ghahramani, Zoubin: - Zoubin Ghahramani is Lecturer in the Gatsby Computational Neuroscience Unit at University College London.Smola, Alexander J.: - Alexander J. Smola is Senior Principal Researcher and Machine Learning Program Leader at National ICT Australia/Australian National University, Canberra.Taskar, Ben: - Ben Taskar is Assistant Professor in the Computer and Information Science Department at the University of Pennsylvania.Vishwanathan, S. V. N.: - 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.Smola, Alexander J.: - Alexander J. Smola is Senior Principal Researcher and Machine Learning Program Leader at National ICT Australia/Australian National University, Canberra. |