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list price: $9.99 USD
edition:Hardcover
category: Computers
published: Dec 2014
ISBN:9780262028370
publisher: The MIT Press

Advanced Structured Prediction

contributions by Sebastian Nowozin; Max Welling; Vladimir Kolmogorov; Daniel Prua; Stanislav Živný; Jeremy Jancsary; Justin Domke; Peter V. Gehler; Fernando De La Torre; Sinisa Todorovic; Minh Hoai Nguyen; Ben Taskar; David Weiss; Fred A. Hamprecht; Stefan Schmidt; Amir Globerson; Alan L. Yuille; Ofer Meshi; Gunnar Rätsch; Marius Kloft; Jonas Behr; Tommi Jaakkola; Yutian Chen; André F. T. Martins; Thomá Werner; Christoph H. Lampert; Andrew E. Gelfand; Thomas Schoenemann; Xinghua Lou; Sébastien Giguère; François Laviolette; Mario Marchand; Amélie Rolland; Joseph Keshet; George Papandreou; Bogdan Savchynskyy & Gabriele Schweikert

0 of 5
0 ratings
rated!
rated!
list price: $9.99 USD
edition:Hardcover
category: Computers
published: Dec 2014
ISBN:9780262028370
publisher: The MIT Press
Description

An overview of recent work in the field of structured prediction, the building of predictive machine learning models for interrelated and dependent outputs.

The goal of structured prediction is to build machine learning models that predict relational information that itself has structure, such as being composed of multiple interrelated parts. These models, which reflect prior knowledge, task-specific relations, and constraints, are used in fields including computer vision, speech recognition, natural language processing, and computational biology. They can carry out such tasks as predicting a natural language sentence, or segmenting an image into meaningful components.

These models are expressive and powerful, but exact computation is often intractable. A broad research effort in recent years has aimed at designing structured prediction models and approximate inference and learning procedures that are computationally efficient. This volume offers an overview of this recent research in order to make the work accessible to a broader research community. The chapters, by leading researchers in the field, cover a range of topics, including research trends, the linear programming relaxation approach, innovations in probabilistic modeling, recent theoretical progress, and resource-aware learning.

Contributors
Jonas Behr, Yutian Chen, Fernando De La Torre, Justin Domke, Peter V. Gehler, Andrew E. Gelfand, Sébastien Giguère, Amir Globerson, Fred A. Hamprecht, Minh Hoai, Tommi Jaakkola, Jeremy Jancsary, Joseph Keshet, Marius Kloft, Vladimir Kolmogorov, Christoph H. Lampert, François Laviolette, Xinghua Lou, Mario Marchand, André F. T. Martins, Ofer Meshi, Sebastian Nowozin, George Papandreou, Daniel Prua, Gunnar Rätsch, Amélie Rolland, Bogdan Savchynskyy, Stefan Schmidt, Thomas Schoenemann, Gabriele Schweikert, Ben Taskar, Sinisa Todorovic, Max Welling, David Weiss, Thomá Werner, Alan Yuille, Stanislav Živný

About the Authors
Sebastian Nowozin is a Researcher in the Machine Learning and Perception group (MLP) at Microsoft Research, Cambridge, England.
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Sebastian Nowozin is a Researcher in the Machine Learning and Perception group (MLP) at Microsoft Research, Cambridge, England.
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Sebastian Nowozin is a Researcher in the Machine Learning and Perception group (MLP) at Microsoft Research, Cambridge, England.
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Sebastian Nowozin is a Researcher in the Machine Learning and Perception group (MLP) at Microsoft Research, Cambridge, England.
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Sebastian Nowozin is a Researcher in the Machine Learning and Perception group (MLP) at Microsoft Research, Cambridge, England.
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Jeremy Jancsary is a Senior Research Scientist at Nuance Communications, Vienna.
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Jeremy Jancsary is a Senior Research Scientist at Nuance Communications, Vienna.
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Peter V. Gehler is a Senior Researcher in the Perceiving Systems group at the Max Planck Institute for Intelligent Systems, Tü bingen, Germany.
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Peter V. Gehler is a Senior Researcher in the Perceiving Systems group at the Max Planck Institute for Intelligent Systems, Tü bingen, Germany.
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Peter V. Gehler is a Senior Researcher in the Perceiving Systems group at the Max Planck Institute for Intelligent Systems, Tü bingen, Germany.
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Peter V. Gehler is a Senior Researcher in the Perceiving Systems group at the Max Planck Institute for Intelligent Systems, Tü bingen, Germany.
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Ben Taskar is Assistant Professor in the Computer and Information Science Department at the University of Pennsylvania.
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Ben Taskar is Assistant Professor in the Computer and Information Science Department at the University of Pennsylvania.
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Ben Taskar is Assistant Professor in the Computer and Information Science Department at the University of Pennsylvania.
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Ben Taskar is Assistant Professor in the Computer and Information Science Department at the University of Pennsylvania.
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Ben Taskar is Assistant Professor in the Computer and Information Science Department at the University of Pennsylvania.
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Alan Yuille is Professor in the Department of Statistics, University of California, Los Angeles.
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Alan Yuille is Professor in the Department of Statistics, University of California, Los Angeles.
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Alan Yuille is Professor in the Department of Statistics, University of California, Los Angeles.
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Alan Yuille is Professor in the Department of Statistics, University of California, Los Angeles.
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Alan Yuille is Professor in the Department of Statistics, University of California, Los Angeles.
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Alan Yuille is Professor in the Department of Statistics, University of California, Los Angeles.
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Alan Yuille is Professor in the Department of Statistics, University of California, Los Angeles.
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Alan Yuille is Professor in the Department of Statistics, University of California, Los Angeles.
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Alan Yuille is Professor in the Department of Statistics, University of California, Los Angeles.
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Christoph H. Lampert is Assistant Professor at the Institute of Science and Technology Austria, where he heads a group for Computer Vision and Machine Learning.
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Christoph H. Lampert is Assistant Professor at the Institute of Science and Technology Austria, where he heads a group for Computer Vision and Machine Learning.
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Christoph H. Lampert is Assistant Professor at the Institute of Science and Technology Austria, where he heads a group for Computer Vision and Machine Learning.
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Christoph H. Lampert is Assistant Professor at the Institute of Science and Technology Austria, where he heads a group for Computer Vision and Machine Learning.
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Christoph H. Lampert is Assistant Professor at the Institute of Science and Technology Austria, where he heads a group for Computer Vision and Machine Learning.
Author profile page >

Christoph H. Lampert is Assistant Professor at the Institute of Science and Technology Austria, where he heads a group for Computer Vision and Machine Learning.
Author profile page >

Christoph H. Lampert is Assistant Professor at the Institute of Science and Technology Austria, where he heads a group for Computer Vision and Machine Learning.
Author profile page >

Christoph H. Lampert is Assistant Professor at the Institute of Science and Technology Austria, where he heads a group for Computer Vision and Machine Learning.
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Christoph H. Lampert is Assistant Professor at the Institute of Science and Technology Austria, where he heads a group for Computer Vision and Machine Learning.
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George Papandreou is a Research Scientist for Google, Inc.
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George Papandreou is a Research Scientist for Google, Inc.
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George Papandreou is a Research Scientist for Google, Inc.
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