Publications

Export 7148 results:
[ Author(Desc)] Title Type Year
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 
G
Getoor L, Rhee JT, Koller D, Small P.  2004.  Understanding tuberculosis epidemiology using structured statistical models. Artificial Intelligence in Medicine. 30(3):233-256.
Getoor L.  2007.  Introduction to Statistical Relational Learning.
Getoor L, Friedman N, Koller D, Taskar B.  2001.  Learning probabilistic models of relational structure. MACHINE LEARNING-INTERNATIONAL WORKSHOP. :170-177.
Getoor L, Mihalkova L.  2011.  Learning statistical models from relational data. Proceedings of the 2011 international conference on Management of data. :1195-1198.
Getoor L, Segal E, Taskar B, Koller D.  2001.  Probabilistic models of text and link structure for hypertext classification. IJCAI workshop on text learning: beyond supervision. :24-29.
Getoor L, Taskar B.  2007.  Introduction to Statistical Relational Learning. :602.
Getoor L, Licamele L.  2005.  Link Mining for the Semantic Web, Position Statement. Proceedings of the Dagstuhl Seminar in Machine Learning for the Semantic Web.
Getoor L.  2000.  Learning probabilistic relational models. Abstraction, Reformulation, and Approximation. :322-323.
Getoor L.  2005.  Tutorial on statistical relational learning. Inductive Logic Programming. :415-415.
Getoor L.  2007.  Combining Tuple and Attribute Uncertainty in Probabilistic Databases. The first international VLDB workshop on Management of Uncertain Data. :1-1.
Getoor L.  2010.  Graph Identification. Advances in Intelligent Data Analysis IX: 9th International Symposium. :6-6.
Getoor L.  2001.  Multi-Relational Data Mining using Probabilistic Models Research Summary. Proc. Of 1st workshop in MRDM.
Getoor L.  2001.  Multi-relational data mining using probabilistic relational models: research summary. In Proceedings of the First Workshop in Multi-relational Data Mining.
Getoor L.  2006.  An introduction to probabilistic graphical models for relational data. Data Engineering Bulletin. 29(1)
Getoor L, Grant J.  2006.  PRL: A probabilistic relational language. Machine Learning. 62(1):7-31.
Getoor L.  2003.  Learning Structure From Statistical Models. IEEE Data Engineering Bulletin. 26(3):11-18.
Getoor L, Diehl CP.  2005.  Link mining: a survey. ACM SIGKDD Explorations Newsletter. 7(2):3-12.
Getoor L, Koller D, Friedman N.  2000.  From instances to classes in probabilistic relational models. Proc. ICML 2000 Workshop on Attribute-Value and Relational Learning.
Getoor L.  2005.  Link-based classification. Advanced methods for knowledge discovery from complex data. :189-207.
Getoor L, Taskar B, Koller D.  2001.  Selectivity estimation using probabilistic models. ACM SIGMOD Record. 30(2):461-472.
Getoor L, Mihalkova L.  2011.  Exploiting statistical and relational information on the web and in social media. Proceedings of the fourth ACM international conference on Web search and data mining. :9-10.
Getoor L, Friedman N, Koller D, Pfeffer A, Taskar B.  2007.  Probabilistic Relational Models. Introduction to Statistical Relational LearningIntroduction to Statistical Relational Learning. :129-129.
Getoor L.  2003.  Structure discovery using statistical relational learning. Data Engineering. 51:10-10.
Getoor L, Diehl CP.  2005.  Introduction to the special issue on link mining. ACM SIGKDD Explorations Newsletter. 7(2):1-2.
Getoor L, Ottosson G, Fromherz M, Carlson B.  1997.  Effective redundant constraints for online scheduling. PROCEEDINGS OF THE NATIONAL CONFERENCE ON ARTIFICIAL IN℡LIGENCE. :302-307.

Pages