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Probabilistic Graphical Models(1st Edition)
Principles and Techniques (Adaptive Computation and Machine Learning series)
by Daphne Koller, Nir Friedman, Francis Bach
Hardcover, 1,280 Pages, Published 2009 by The Mit Press
ISBN-13: 978-0-262-01319-2, ISBN: 0-262-01319-3






Introduction to Statistical Relational Learning
(Adaptive Computation and Machine Learning series)
by Lise Getoor, Ben Taskar, Wen-Tau Yih, Daphne Koller, Nir Friedman, Charles Sutton, Andrew Mccallum, Avi Pfeffer, Pieter Abbeel, Ming-Fai Wong, David Heckerman, Chris Meek, Jennifer Neville, David Jensen, James Cussens, Assistant Professor Eyal Amir, Luc De Raedt, Niels Pahlavi, Pedro Domingos, Matthew Richardson, Brian Milch, Bhaskara Marthi, Stuart Russell, Daniel L. Ong, Andrey Kolobov, Assistant Professor Elizabeth Burnside, Alexandrin Popescul, Jesse Davis, Assistant Professor Alan Fern, Ines Dutra, David Page, Raghu Ramakrishnan, Jude Shavlik, Vitor Santos Costa, Associate Professor Robert Givan, Sungwook Yoon, Assistant Professor Razvan Bunescu, Professor Dan Roth, Raymond J. Mooney, Associate Professor Kristian Kersting, Sašo Džeroski, Stephen Muggleton, David Sontag, Lyle H. Ungar
Paperback, 608 Pages, Published 2019 by The Mit Press
ISBN-13: 978-0-262-53868-8, ISBN: 0-262-53868-7






UAI '02
Proceedings of the 18th Conference in Uncertainty in Artificial Intelligence
by Jack Breese, Daphne Koller, Nir Friedman, Adnane Z. Darwiche, Mark A. Uail
Paperback, 600 Pages, Published 2002 by Morgan Kaufmann
ISBN-13: 978-1-55860-897-9, ISBN: 1-55860-897-4






The Audio Programming Book
(The MIT Press)
by Richard Boulanger, Victor Lazzarini, Max V. Mathews, John Ffitch, Richard William Dobson, Matt Ingalls, Eric Lyon, Gabriel Maldonado, Michael Kent Gogins, Craig Stuart Sapp, Daphne Koller, Richard Charles Boulanger, Robert M.
Hardcover, 889 Pages, Published 2010 by The Mit Press
Lay Flat
ISBN-13: 978-0-262-01446-5, ISBN: 0-262-01446-7






Adaptive Computation and Machine Learning Ser.
Probabilistic Graphical Models : Principles and Techniques
by Daphne Koller, Nir Friedman
Published 2009
ISBN-13: 978-0-262-25984-2, ISBN: 0-262-25984-2






Probabilistic Graphical Models
Principles and Techniques (Adaptive Computation and Machine Learning series) 1st (first) edition
by Daphne Koller
Hardcover, Published 2009 by The Mit Press
ISBN-13: 978-0-935717-10-5, ISBN: 0-935717-10-2






Adaptive Computation and Machine Learning Ser.
Probabilistic Graphical Models : Principles and Techniques
by Daphne Koller, Nir Friedman
Published 2009
ISBN-13: 978-0-262-27738-9, ISBN: 0-262-27738-7






Adaptive Computation and Machine Learning Ser.
Probabilistic Graphical Models : Principles and Tec
by Daphne Koller, Nir Friedman
1,280 Pages, Published 2009 by Mit Press
ISBN-13: 978-0-262-25835-7, ISBN: 0-262-25835-8






Sound Unbound
Sampling Digital Music and Culture
by Paul D. Miller, Steve Reich, Cory Doctorow, Saul Williams, Jonathan Lethem, Erik Davis, Bruce Sterling, Dick Hebdige, Keith Obadike, Mendi Obadike, Ken Jordan, David Allenby, Pauline Oliveros, Daphne Koller, Lucy Walker, Joseph Lanza, Simon Reynolds, Jeff E. Winner, Ron Eglash, Manuel De Landa, Frances Dyson, Douglas Kahn, Carlo Mccormick, Scott De Lahunta, Vijay Iyer, Alondra Nelson, Evelina Domnitch, Dmitry Gelfand, Naeem Mohaiemen, Brian Eno, Daniel Bernard Roumain, Hans-Ulrich Obrist, Philippe Parreno, Ibrahim Quraishi, Catherine Corman, Jaron Lanier, B. Coleman, Howard Goldkrand
Paperback, 432 Pages, Published 2008 by The Mit Press
Mobipocket_Ebook
ISBN-13: 978-0-262-63363-5, ISBN: 0-262-63363-9






Internal Labor Markets
(MIT Press)
by Daphne Koller, Paul Osterman
Paperback, 288 Pages, Published 1984 by The Mit Press
ISBN-13: 978-0-262-65105-9, ISBN: 0-262-65105-X






UAI '01(1st Edition)
Proceedings of the 17th Conference in Uncertainty in Artificial Intelligence
by Jack Breese, Daphne Koller
Paperback, 650 Pages, Published 2001 by Morgan Kaufmann
ISBN-13: 978-1-55860-800-9, ISBN: 1-55860-800-1






Introduction to Statistical Relational Learning(1st Edition)
(Adaptive Computation and Machine Learning series)
by Lise Getoor, Ben Taskar, Nir Friedman, Andrew Mccallum, Avi Pfeffer, Pieter Abbeel, Daphne Koller, Charles Sutton, David Heckerman, Chris Meek, Jennifer Neville, David Jensen, James Cussens, Kristian Kersting, Ming-Fai Wong, Stephen Muggleton, Niels Pahlavi, Pedro Domingos, Matthew Richardson, Brian Milch, Sašo Džeroski, Bhaskara Marthi, Stuart Russell, David Sontag, Andrey Kolobov, Eyal Amir, Alexandrin Popescul, Luc De Raedt, Daniel L. Ong, Lyle H. Ungar, Jesse Davis, Elizabeth Burnside, Ines Dutra, David Page, Raghu Ramakrishnan, Jude Shavlik, Vitor Santos Costa, Alan Fern, Sungwook Yoon, Robert Givan, Razvan Bunescu, Raymond J. Mooney, Dan Roth, Wen-Tau Yih, Francis Bach, Saå¡O Då¾eroski, Mit Pr
Hardcover, 608 Pages, Published 2007 by The Mit Press
ISBN-13: 978-0-262-07288-5, ISBN: 0-262-07288-2






Die Falte bei Bernini
by Jacqueline Koller
Paperback, 40 Pages, Published 2013 by Grin Verlag, Germany
ISBN-13: 978-3-640-84401-2, ISBN: 3-640-84401-7






Graphical Models in Applied Multivariate Statistics(1st Edition)
by Joe Whittaker
Paperback, 462 Pages, Published 2009 by Wiley
ISBN-13: 978-0-470-74366-9, ISBN: 0-470-74366-2






Handbook of Graphical Models(1st Edition)
(Chapman & Hall/CRC Handbooks of Modern Statistical Methods)
by Mathias Drton , Martin Wainwright , Steffen Lilholt Lauritzen , Marloes Maathuis
Hardcover, 554 Pages, Published 2018 by Crc Press
ISBN-13: 978-1-4987-8862-5, ISBN: 1-4987-8862-9






Probabilistic Reasoning in Multiagent Systems(1st Edition)
A Graphical Models Approach
by Yang Xiang
Hardcover, 308 Pages, Published 2002 by Cambridge University Press
ISBN-13: 978-0-521-81308-2, ISBN: 0-521-81308-5






Graphical Models in Applied Multivariate Statistics(1st Edition)
(Wiley Series in Probability and Statistics)
by Joe Whittaker
Hardcover, 466 Pages, Published 1990 by Wiley
ISBN-13: 978-0-471-91750-2, ISBN: 0-471-91750-8






Graphical Models with R
(Use R!)
by Steffen Lauritzen , David Edwards , Søren Højsgaard , Sren Hjsgaard , Sã¸Ren Hã¸Jsgaard
Paperback, 192 Pages, Published 2012 by Springer
ISBN-13: 978-1-4614-2298-3, ISBN: 1-4614-2298-1






Introduction to Graphical Modelling(2nd Edition)
(Springer Texts in Statistics)
by David Edwards
Hardcover, 335 Pages, Published 2000 by Springer
ISBN-13: 978-0-387-95054-9, ISBN: 0-387-95054-0






Learning Probabilistic Graphical Models in R
by David Bellot
Paperback, 250 Pages, Published 2016 by Packt Publishing - Ebooks Account
ISBN-13: 978-1-78439-205-5, ISBN: 1-78439-205-7






Probabilistic Graphical Models
A New Way of Thinking in Financial Modelling
by Alexander Denev
Paperback, 448 Pages, Published 2015 by Risk Books
ISBN-13: 978-1-78272-097-3, ISBN: 1-78272-097-9






Mastering Probabilistic Graphical Models using Python
by Ankur Ankan , Abinash Panda
Paperback, 287 Pages, Published 2015 by Packt Publishing - Ebooks Account
ISBN-13: 978-1-78439-468-4, ISBN: 1-78439-468-8






Probabilistic Graphical Models for Computer Vision.(1st Edition)
by Qiang Ji
Hardcover, 500 Pages, Published 2019 by Academic Press
ISBN-13: 978-0-12-803467-5, ISBN: 0-12-803467-X






Graphical Models(1st Edition)
Foundations of Neural Computation (Computational Neuroscience)
by Michael I. Jordan , Michael Irwin Jordan , Terrence J. Sejnowski , Terrence Joseph Sejnowski , Tomaso A. Poggio
Paperback, 435 Pages, Published 2001 by A Bradford Book
ISBN-13: 978-0-262-60042-2, ISBN: 0-262-60042-0

All Authors

Daphne Koller

Nir Friedman

Francis Bach

Jack Breese

Luc De Raedt

Matthew Richardson

Brian Milch

Pedro Domingos

Daniel Ong

Raghu Ramakrishnan


All Bindings

Paperback

Hardcover

Unknown


All Editions

1st Edition

2nd Edition

Illustrated

Other


All Years

2024 - 2024

2019 - 2024

2014 - 2019

2009 - 2014

2004 - 2009

1999 - 2004

1984 - 1989


All Regions

English

German




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