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Computational Learning Theory and Natural Learning Systems, Vol. III(Updated) Selecting Good Models by Thomas Petsche, Stephen José Hanson, Jude Shavlik, George A. Drastal, Ronald L. Rivest, Stephen Josã Hanson, Jude W. Shavlik Paperback, 405 Pages, Published 1995 by A Bradford Book ISBN-13: 978-0-262-66096-9, ISBN: 0-262-66096-2 |
Readings in Machine Learning (The Morgan Kaufmann Series in Machine Learning) by Thomas Dietterich, Jude W. Shavlik, Thomas Glen Dietterich, Jude Shavlik, June Shaulik Paperback, 853 Pages, Published 1990 by Morgan Kaufmann ISBN-13: 978-1-55860-143-7, ISBN: 1-55860-143-0 |
Extending Explanation-Based Learning by Generalizing the Structure of Explanations (Research Notes in Artificial Intelligence) by Jude W. Shavlik Paperback, 232 Pages, Published 1990 by Morgan Kaufmann ISBN-13: 978-0-273-08817-2, ISBN: 0-273-08817-3 |
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 |
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 |
Machine Learning Proceedings 1998 by Jude W. Shavlik Paperback, 592 Pages, Published 1998 by Morgan Kaufmann ISBN-13: 978-1-55860-556-5, ISBN: 1-55860-556-8 |
Extending Explanation-Based Learning by Generalizing the Structure of Explanations by Jude W. Shavlik 236 Pages, Published 2014 by Morgan Kaufmann ISBN-13: 978-1-4832-5891-1, ISBN: 1-4832-5891-2 |
Inductive Logic Programming 17th International Conference, ILP 2007, Corvallis, OR, USA, June 19-21, 2007, Revised Selected Papers (Lecture Notes in ... / Lecture Notes in Artificial Intelligence) by Hendrik Blockeel, Jude Shavlik, Jan Ramon, Prasad Tadepalli, Prasad And Tadepalli Paperback, 307 Pages, Published 2008 by Springer ISBN-13: 978-3-540-78468-5, ISBN: 3-540-78468-3 |
Boosted Statistical Relational Learners(2014th Edition) From Benchmarks to Data-Driven Medicine (SpringerBriefs in Computer Science) by Sriraam Natarajan, Kristian Kersting, Tushar Khot, Jude Shavlik Paperback, 84 Pages, Published 2015 by Springer ISBN-13: 978-3-319-13643-1, ISBN: 3-319-13643-7 |
SpringerBriefs in Computer Science Ser. Boosted Statistical Relational Learners : From Benchmarks to Data-Driven Medicine by Sriraam Natarajan, Kristian Kersting, Tushar Khot, Jude Shavlik 74 Pages, Published 2015 by Springer ISBN-13: 978-3-319-13644-8, ISBN: 3-319-13644-5 |
Lecture Notes in Computer Science Ser. Inductive Logic Programming : 17th International Conference, ILP 2007, Corvallis, or, USA, June 19-21, 2007, Revised Selected Papers 4894 by Hendrik Blockeel, Jan Ramon, Jude Shavlik, Prasad Tadepalli 307 Pages, Published 2008 by Springer ISBN-13: 978-3-540-78469-2, ISBN: 3-540-78469-1 |
Research Notes in Artificial Intelligence Ser. Extending Explanation-Based Learning by Generalizing the Structure of Explanations by Jude W. Shavlik Paperback, 219 Pages, Published 1998 by Morgan Kaufmann Publishers In ISBN-13: 978-1-55860-109-3, ISBN: 1-55860-109-0 |
Jude Shavlik