Learning Probabilistic Relational Models

@inproceedings{citeulike:382658, abstract = {A large portion of real-world data is stored in commercial relational database systems. In contrast, most statistical learning methods work only with \"flat\" data representations. Thus, to apply these methods, we are forced to convert our data into a flat form, thereby losing much of the relational structure present in our database. This paper builds on the recent work on probabilistic relational models (PRMs), and describes how to learn them from databases. PRMs allow the properties of an...}, author = {Friedman, Nir and Getoor, Lise and Koller, Daphne and Pfeffer, Avi }, booktitle = {IJCAI}, citeulike-article-id = {382658}, keywords = {bayesian, learning, models, probabilistic, relational, statistics}, pages = {1300--1309}, posted-at = {2008-01-25 05:04:36}, priority = {0}, title = {Learning Probabilistic Relational Models}, url = {http://citeseer.ist.psu.edu/friedman99learning.html}, year = {1999} }

TY - CONF ID - citeulike:382658 L3 - citeulike-article-id:382658 TI - Learning Probabilistic Relational Models T2 - IJCAI SP - 1300 EP - 1309 N2 - A large portion of real-world data is stored in commercial relational database systems. In contrast, most statistical learning methods work only with "flat" data representations. Thus, to apply these methods, we are forced to convert our data into a flat form, thereby losing much of the relational structure present in our database. This paper builds on the recent work on probabilistic relational models (PRMs), and describes how to learn them from databases. PRMs allow the properties of an... KW - bayesian KW - learning KW - models KW - probabilistic KW - relational KW - statistics AU - Friedman, Nir AU - Getoor, Lise AU - Koller, Daphne AU - Pfeffer, Avi PY - 1999/// UR - http://citeseer.ist.psu.edu/friedman99learning.html ER -