Advanced Structured Prediction

ISBN: 9780262028370
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Overview

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, SĆ©bastien GiguĆØre, Amir Globerson, Fred A. Hamprecht, Minh Hoai, Tommi Jaakkola, Jeremy Jancsary, Joseph Keshet, Marius Kloft, Vladimir Kolmogorov, Christoph H. Lampert, FranƧois Laviolette, Xinghua Lou, Mario Marchand, AndrĆ© F. T. Martins, Ofer Meshi, Sebastian Nowozin, George Papandreou, Daniel PrÅÆÅ”a, Gunnar RƤtsch, AmĆ©lie Rolland, Bogdan Savchynskyy, Stefan Schmidt, Thomas Schoenemann, Gabriele Schweikert, Ben Taskar, Sinisa Todorovic, Max Welling, David Weiss, ThomĆ”Å” Werner, Alan Yuille, Stanislav ŽivnĆ½

This book title, Advanced Structured Prediction, ISBN: 9780262028370, by Sebastian Nowozin, Peter V. Gehler, Jeremy Jancsary, Christoph H. Lampert, published by MIT Press (December 5, 2014) is available in hardcover. Our minimum order quantity is 25 copies. All standard bulk book orders ship FREE in the continental USA and delivered in 4-10 business days.

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Product Details

Author:
Sebastian Nowozin, Peter V. Gehler, Jeremy Jancsary, Christoph H. Lampert
Series:
Neural Information Processing series
Format:
Hardcover
Pages:
432
Publisher:
MIT Press (December 5, 2014)
Language:
English
ISBN-13:
9780262028370
ISBN-10:
0262028379
Weight:
38.6oz
Dimensions:
8.31" x 10.31" x 1"
Case Pack:
14
File:
RandomHouse-PRH_Book_Company_PRH_PRT_Onix_full_active_D20240208T185739_146352329-20240208.xml
Folder:
RandomHouse
List Price:
$65.00
As low as:
$33.15
Shipping Origin:
Crawfordsville, IN
Publisher Identifier:
P-RH
Discount Code:
A
Audience:
General/trade
Country of Origin:
United States

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