Collective Inference with Learned and Engineered Knowledge

David Jensen , MASSACHUSETTS UNIV AMHERST DEPT OF COMPUTER SCIENCE

2009
Analyzing Private Network Data Using Output Perturbation

Dan Suciu , Michael Hay , David Jensen , Don Towsley

2009
Mining of Concurrent Text and Time Series

Matt Schmill , Victor Lavrenko , David Jensen , Dawn Lawrie

147
2008
Learning Quantitative Knowledge for Multiagent Coordination TITLE2

M. Atighetchi , D. Jensen , V. Lesser , R. Vincent
University of Massachusetts

3
1999
Proceedings of the 2011 workshop on Knowledge discovery, modeling and simulation

Amy McGovern , David Jensen , Ashok Srivastava , Amy Henninger
knowledge discovery and data mining

2011
Large datasets lead to overly complex models: an explanation and a solution

David Jensen , Tim Oates
knowledge discovery and data mining 294 -298

64
1998
Automatic Identification of Quasi-Experimental Designs for Scientific Discovery

Matthew J. Rattigan , Marc E. Maier , David D. Jensen , Andrew S. Fast
national conference on artificial intelligence 24 -25

2008
Transformative Pattern Learning

David Jensen , MASSACHUSETTS UNIV AMHERST

2006
Resisting Structural Reidentification Anonymized Social Networks

Michael Hay , David Jensen , Philipp Weis , Don Towsley

68
2008
Learning the structure of bayesian networks with constraint satisfaction

David D. Jensen , Andrew S. Fast
University of Massachusetts Amherst

12
2010
112
2003
Statistical models and analysis techniques for learning in relational data

David Jensen , Jennifer Neville
University of Massachusetts Amherst

16
2006
Toward a theoretical understanding of why and when decision tree pruning algorithms fail

David Jensen , Tim Oates
national conference on artificial intelligence 372 -378

14
1999
A relational representation for procedural task knowledge

Roderic Grupen , David Jensen , Stephen Hart
national conference on artificial intelligence 1280 -1285

16
2005
Identifying Independence in Relational Models

Marc E. Maier , David D. Jensen
arXiv: Artificial Intelligence

2012
Enabling accurate analysis of private network data

Michael G. Hay , David Jensen , Gerome Miklau
University of Massachusetts Amherst

9
2010
Automatically Acquiring Rules for Event Correlation from Event Logs

D. Jensen , P. R. Cohen , T. Oates
University of Massachusetts

7
1997