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 | | 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 |
 | | 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 |
 | | Uncertainty in Artificial Intelligence Proceedings of the Ninth Conference on Uncertainty in Artificial Intelligence, The Catholic University of America, Washington, D.C. 1993 by David Heckerman, Abe Mamdani 552 Pages, Published 2014 by Morgan Kaufmann ISBN-13: 978-1-4832-1451-1, ISBN: 1-4832-1451-6 |
 | | Causation, Prediction, and Search, Second Edition(2nd Edition) (Adaptive Computation and Machine Learning) by Peter Spirtes, Clark N. Glymour, Richard Scheines, David Heckerman, Christopher Meek, Gregory Cooper, Thomas Richardson Hardcover, 568 Pages, Published 2001 by A Bradford Book ISBN-13: 978-0-262-19440-2, ISBN: 0-262-19440-6 |
 | | Science@Microsoft by David Heckerman, Kenji Takeda, Stephen Emmott, Tony Hey, Yan Xu Hardcover, 98 Pages, Published 2012 by Microsoft ISBN-13: 978-0-9825442-1-1, ISBN: 0-9825442-1-9 |
 | | Bayesian Statistics 9(1st Edition) (Oxford Science Publications) by James O. Berger, M. J. Bayarri, A. P. Dawid, David Heckerman, Jose M. Bernardo, Mike West, M. West, Josand#233 Bernardo, Et. Al., Josã M. Bernardo Hardcover, 720 Pages, Published 2011 by Oxford University Press ISBN-13: 978-0-19-969458-7, ISBN: 0-19-969458-3 |
 | | Bayesian Statistics 7(1st Edition) Proceedings of the Seventh Valencia International Meeting by José M. Bernardo, David Heckerman, Mike West, James O. Berger, M. J. Bayarri, A. Philip Dawid, Dennis V. Lindley, Et. Al, Oxford University Press Hardcover, 768 Pages, Published 2003 by Oxford University Press ISBN-13: 978-0-19-852615-5, ISBN: 0-19-852615-6 |
 | | Proceedings of the 3rd International Conference on Knowledge Discovery & Data Mining by David Heckerman, Heikki Mannila, Daryl Pregibon, Ramasamy Uthurusamy Paperback, 325 Pages, Published 1997 by Amer Assn For Artificial ISBN-13: 978-1-57735-027-9, ISBN: 1-57735-027-8 |
David Heckerman
