Probabilistic Graphical Models: Principles and Techniques (Adaptive Computation and Machine Learning series)

4,25 durchschnittliche Bewertung
( 165 Bewertungen bei Goodreads )
 
9780262013192: Probabilistic Graphical Models: Principles and Techniques (Adaptive Computation and Machine Learning series)
Alle Exemplare der Ausgabe mit dieser ISBN anzeigen:
 
 

Rare Book

Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.

Críticas:

"This landmark book provides a very extensive coverage of the field, ranging from basic representational issues to the latest techniques for approximate inference and learning. As such, it is likely to become a definitive reference for all those who work in this area. Detailed worked examples and case studies also make the book accessible to students."--Kevin Murphy, Department of Computer Science, University of British Columbia

Reseña del editor:

A general framework for constructing and using probabilistic models of complex systems that would enable a computer to use available information for making decisions. Most tasks require a person or an automated system to reason-to reach conclusions based on available information. The framework of probabilistic graphical models, presented in this book, provides a general approach for this task. The approach is model-based, allowing interpretable models to be constructed and then manipulated by reasoning algorithms. These models can also be learned automatically from data, allowing the approach to be used in cases where manually constructing a model is difficult or even impossible. Because uncertainty is an inescapable aspect of most real-world applications, the book focuses on probabilistic models, which make the uncertainty explicit and provide models that are more faithful to reality. Probabilistic Graphical Models discusses a variety of models, spanning Bayesian networks, undirected Markov networks, discrete and continuous models, and extensions to deal with dynamical systems and relational data. For each class of models, the text describes the three fundamental cornerstones: representation, inference, and learning, presenting both basic concepts and advanced techniques. Finally, the book considers the use of the proposed framework for causal reasoning and decision making under uncertainty. The main text in each chapter provides the detailed technical development of the key ideas. Most chapters also include boxes with additional material: skill boxes, which describe techniques; case study boxes, which discuss empirical cases related to the approach described in the text, including applications in computer vision, robotics, natural language understanding, and computational biology; and concept boxes, which present significant concepts drawn from the material in the chapter. Instructors (and readers) can group chapters in various combinations, from core topics to more technically advanced material, to suit their particular needs.

„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.

Beste Suchergebnisse bei AbeBooks

Beispielbild für diese ISBN

1.

Daphne Koller
ISBN 10: 0262013193 ISBN 13: 9780262013192
Neu Anzahl: 1
Anbieter
book-net
(Sugarland, TX, USA)
Bewertung

Buchbeschreibung Zustand: New. New Book. Bestandsnummer des Verkäufers 0262013193-SBX

Weitere Informationen zu diesem Verkäufer | Verkäufer kontaktieren

Neu kaufen
EUR 81,71
Währung umrechnen

In den Warenkorb

Versand: Gratis
Innerhalb USA
Versandziele, Kosten & Dauer
Foto des Verkäufers

2.

Koller, Daphne; Friedman, Nir;
Verlag: The MIT Press 2009-07-31 (2009)
ISBN 10: 0262013193 ISBN 13: 9780262013192
Neu Hardcover Anzahl: 1
Anbieter
Zlimmy
(Vermillion, SD, USA)
Bewertung

Buchbeschreibung The MIT Press 2009-07-31, 2009. Hardcover. Zustand: New. 1. Hardcover; Condition: New. U.S Edition otherwise as stated. USPS Media Mail 2-9 Business days, Priority mail upon additional charge. Returns on textbooks: Returns only on books, absolutely no access codes will be returned for any reason. Notes: Used books are unlikely to include supplemental items such as access code or CDs. BOOK. Bestandsnummer des Verkäufers B9780262013192_0262013193

Weitere Informationen zu diesem Verkäufer | Verkäufer kontaktieren

Neu kaufen
EUR 90,36
Währung umrechnen

In den Warenkorb

Versand: EUR 2,70
Innerhalb USA
Versandziele, Kosten & Dauer
Beispielbild für diese ISBN

3.

Koller, Daphne
Verlag: imusti (2009)
ISBN 10: 0262013193 ISBN 13: 9780262013192
Neu Hardcover Anzahl: 1
Anbieter
Book Deals
(Lewiston, NY, USA)
Bewertung

Buchbeschreibung imusti, 2009. Hardcover. Zustand: BRAND NEW. Bestandsnummer des Verkäufers 0262013193_abe_bn

Weitere Informationen zu diesem Verkäufer | Verkäufer kontaktieren

Neu kaufen
EUR 99,36
Währung umrechnen

In den Warenkorb

Versand: Gratis
Innerhalb USA
Versandziele, Kosten & Dauer
Beispielbild für diese ISBN

4.

N Friedman Nir Friedman Daphne Koller
Verlag: MIT Press
ISBN 10: 0262013193 ISBN 13: 9780262013192
Neu Anzahl: 2
Anbieter
Books Puddle
(New York, NY, USA)
Bewertung

Buchbeschreibung MIT Press. Zustand: New. pp. 1280. Bestandsnummer des Verkäufers 26693581

Weitere Informationen zu diesem Verkäufer | Verkäufer kontaktieren

Neu kaufen
EUR 96,14
Währung umrechnen

In den Warenkorb

Versand: EUR 3,60
Innerhalb USA
Versandziele, Kosten & Dauer
Beispielbild für diese ISBN

5.

Daphne Koller, N Friedman
Verlag: MIT Press 2009-11-16 (2009)
ISBN 10: 0262013193 ISBN 13: 9780262013192
Neu Hardcover Anzahl: 8
Anbieter
Chiron Media
(Wallingford, Vereinigtes Königreich)
Bewertung

Buchbeschreibung MIT Press 2009-11-16, 2009. Hardcover. Zustand: New. Bestandsnummer des Verkäufers NU-GRD-05263858

Weitere Informationen zu diesem Verkäufer | Verkäufer kontaktieren

Neu kaufen
EUR 95,45
Währung umrechnen

In den Warenkorb

Versand: EUR 11,03
Von Vereinigtes Königreich nach USA
Versandziele, Kosten & Dauer
Beispielbild für diese ISBN

6.

Friedman N Nir Friedman Daphne Koller
Verlag: MIT Press
ISBN 10: 0262013193 ISBN 13: 9780262013192
Neu Anzahl: 2
Anbieter
Majestic Books
(London, Vereinigtes Königreich)
Bewertung

Buchbeschreibung MIT Press. Zustand: New. pp. 1280. Bestandsnummer des Verkäufers 8202898

Weitere Informationen zu diesem Verkäufer | Verkäufer kontaktieren

Neu kaufen
EUR 103,82
Währung umrechnen

In den Warenkorb

Versand: EUR 6,51
Von Vereinigtes Königreich nach USA
Versandziele, Kosten & Dauer
Beispielbild für diese ISBN

7.

Daphne Koller
Verlag: MIT Press (2009)
ISBN 10: 0262013193 ISBN 13: 9780262013192
Neu Anzahl: > 20
Anbieter
Paperbackshop-US
(Wood Dale, IL, USA)
Bewertung

Buchbeschreibung MIT Press, 2009. HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000. Bestandsnummer des Verkäufers WM-9780262013192

Weitere Informationen zu diesem Verkäufer | Verkäufer kontaktieren

Neu kaufen
EUR 110,82
Währung umrechnen

In den Warenkorb

Versand: Gratis
Innerhalb USA
Versandziele, Kosten & Dauer
Beispielbild für diese ISBN

8.

Daphne Koller
Verlag: MIT Press (2009)
ISBN 10: 0262013193 ISBN 13: 9780262013192
Neu Anzahl: > 20
Anbieter
Books2Anywhere
(Fairford, GLOS, Vereinigtes Königreich)
Bewertung

Buchbeschreibung MIT Press, 2009. HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000. Bestandsnummer des Verkäufers WM-9780262013192

Weitere Informationen zu diesem Verkäufer | Verkäufer kontaktieren

Neu kaufen
EUR 106,30
Währung umrechnen

In den Warenkorb

Versand: EUR 5,92
Von Vereinigtes Königreich nach USA
Versandziele, Kosten & Dauer
Beispielbild für diese ISBN

9.

Daphne Koller, Nir Friedman
Verlag: MIT Press Ltd, United States (2011)
ISBN 10: 0262013193 ISBN 13: 9780262013192
Neu Hardcover Anzahl: 10
Anbieter
The Book Depository
(London, Vereinigtes Königreich)
Bewertung

Buchbeschreibung MIT Press Ltd, United States, 2011. Hardback. Zustand: New. Language: English. Brand new Book. A general framework for constructing and using probabilistic models of complex systems that would enable a computer to use available information for making decisions.Most tasks require a person or an automated system to reason-to reach conclusions based on available information. The framework of probabilistic graphical models, presented in this book, provides a general approach for this task. The approach is model-based, allowing interpretable models to be constructed and then manipulated by reasoning algorithms. These models can also be learned automatically from data, allowing the approach to be used in cases where manually constructing a model is difficult or even impossible. Because uncertainty is an inescapable aspect of most real-world applications, the book focuses on probabilistic models, which make the uncertainty explicit and provide models that are more faithful to reality. Probabilistic Graphical Models discusses a variety of models, spanning Bayesian networks, undirected Markov networks, discrete and continuous models, and extensions to deal with dynamical systems and relational data. For each class of models, the text describes the three fundamental cornerstones: representation, inference, and learning, presenting both basic concepts and advanced techniques. Finally, the book considers the use of the proposed framework for causal reasoning and decision making under uncertainty. The main text in each chapter provides the detailed technical development of the key ideas. Most chapters also include boxes with additional material: skill boxes, which describe techniques; case study boxes, which discuss empirical cases related to the approach described in the text, including applications in computer vision, robotics, natural language understanding, and computational biology; and concept boxes, which present significant concepts drawn from the material in the chapter. Instructors (and readers) can group chapters in various combinations, from core topics to more technically advanced material, to suit their particular needs. Bestandsnummer des Verkäufers AAH9780262013192

Weitere Informationen zu diesem Verkäufer | Verkäufer kontaktieren

Neu kaufen
EUR 119,90
Währung umrechnen

In den Warenkorb

Versand: Gratis
Von Vereinigtes Königreich nach USA
Versandziele, Kosten & Dauer
Beispielbild für diese ISBN

10.

Daphne Koller, Nir Friedman
Verlag: MIT Press Ltd, United States (2011)
ISBN 10: 0262013193 ISBN 13: 9780262013192
Neu Hardcover Anzahl: 10
Anbieter
Book Depository International
(London, Vereinigtes Königreich)
Bewertung

Buchbeschreibung MIT Press Ltd, United States, 2011. Hardback. Zustand: New. Language: English. Brand new Book. A general framework for constructing and using probabilistic models of complex systems that would enable a computer to use available information for making decisions.Most tasks require a person or an automated system to reason-to reach conclusions based on available information. The framework of probabilistic graphical models, presented in this book, provides a general approach for this task. The approach is model-based, allowing interpretable models to be constructed and then manipulated by reasoning algorithms. These models can also be learned automatically from data, allowing the approach to be used in cases where manually constructing a model is difficult or even impossible. Because uncertainty is an inescapable aspect of most real-world applications, the book focuses on probabilistic models, which make the uncertainty explicit and provide models that are more faithful to reality. Probabilistic Graphical Models discusses a variety of models, spanning Bayesian networks, undirected Markov networks, discrete and continuous models, and extensions to deal with dynamical systems and relational data. For each class of models, the text describes the three fundamental cornerstones: representation, inference, and learning, presenting both basic concepts and advanced techniques. Finally, the book considers the use of the proposed framework for causal reasoning and decision making under uncertainty. The main text in each chapter provides the detailed technical development of the key ideas. Most chapters also include boxes with additional material: skill boxes, which describe techniques; case study boxes, which discuss empirical cases related to the approach described in the text, including applications in computer vision, robotics, natural language understanding, and computational biology; and concept boxes, which present significant concepts drawn from the material in the chapter. Instructors (and readers) can group chapters in various combinations, from core topics to more technically advanced material, to suit their particular needs. Bestandsnummer des Verkäufers AAH9780262013192

Weitere Informationen zu diesem Verkäufer | Verkäufer kontaktieren

Neu kaufen
EUR 120,00
Währung umrechnen

In den Warenkorb

Versand: Gratis
Von Vereinigtes Königreich nach USA
Versandziele, Kosten & Dauer

Es gibt weitere Exemplare dieses Buches

Alle Suchergebnisse ansehen