Introduction to Statistical Relational Learning |
|
| Editor:
| Getoor, Lise
Taskar, Ben |
| Contribution by:
| Getoor, Lise
Taskar, Ben
Koller, Daphne
Friedman, Nir
Džeroski, Saso
Sutton, Charles
McCallum, Andrew
Pfeffer, Avi
Abbeel, Pieter
Wong, Ming-Fai
Heckerman, David
Meek, Chris
Neville, Jennifer
Jensen, David
Cussens, James
Kersting, Kristian
Raedt, Luc de
Muggleton, Stephen
Pahlavi, Niels
Domingos, Pedro
Richardson, Matthew
Milch, Brian
Marthi, Bhaskara
Russell, Stuart
Sontag, David
Ong, Daniel L.
Kolobov, Andrey
Braz, Rodrigo de Salvo
Amir, Eyal
Popescul, Alexandrin
Ungar, Lyle H.
Davis, Jesse
Burnside, Elizabeth
Dutra, Ines
Page, David
Ramakrishnan, Raghu
Shavlik, Jude
Costa, Vitor Santos
Fern, Alan
Yoon, Sungwook
Givan, Robert
Bunescu, Razvan
Mooney, Raymond J.
Roth, Dan
Yih, Wen-Tau |
| Series title: | Adaptive Computation and Machine Learning Ser. |
| ISBN: | 978-0-262-25623-0 |
| Publication Date: | Aug 2007 |
| Publisher: | MIT Press
|
| Book Format: | Ebook |
| List Price: | USD $83.00 |
Book Description:
|
Advanced statistical modeling and knowledge representation techniques for a newly emerging area of machine learning and probabilistic reasoning; includes introductory material, tutorials for different proposed approaches, and applications.
Advanced statistical modeling and knowledge representation techniques for a newly emerging area of machine learning and probabilistic reasoning; includes introductory material, tutorials for different proposed approaches, and applications.