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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 |
 | | 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 |
 | | 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 |
 | | 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 |
 | | Abstracts of Papers Presented at the 2007 Meeting of Systems Biology(1st Edition) Global Regulation of Gene Expression held March 29-April 1, 2007 by Julia Bailey-Serres, Nir Friedman, Bing Ren Paperback, 192 Pages, Published 2007 by Cold Spring Harbor Laboratory Pr ISBN-13: 978-0-87969-290-2, ISBN: 0-87969-290-1 |
 | | 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 |
 | | 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 |
Nir Friedman
