Learning relational probability trees (2003)

by Jennifer Neville , David Jensen , Lisa Friedland , Michael Hay
Venue:In Proceedings of the 9th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
Citations:117 - 33 self

Active Bibliography

25 Avoiding bias when aggregating relational data with degree disparity – David Jensen, Jennifer Neville, Michael Hay - 2003
9 STATISTICAL MODELS AND ANALYSIS TECHNIQUES FOR LEARNING IN RELATIONAL DATA – Jennifer Neville - 2006
65 Dependency Networks for Relational Data – Jennifer Neville, David Jensen - 2004
59 Leveraging relational autocorrelation with latent group models – Jennifer Neville, David Jensen
7 Bridging the gap between distance and generalisation: Symbolic learning in metric spaces – V. Estruch, C. Ferri, J. Hernández-orallo, M. J. Ramírez-quintana - 2008
84 A Simple Relational Classifier – Sofus A. Macskassy, Foster Provost - 2003
70 Relational dependency networks – Jennifer Neville, David Jensen, Max Chickering - 2007
2 Feature Discovery with Type Extension Trees – Paolo Frasconi, Manfred Jaeger, Andrea Passerini
12 Cautious Collective Classification – Luke K. Mcdowell, Kalyan Moy Gupta, David W. Aha, Michael Collins
2 Type Extension Trees: a Unified Framework for Relational Feature Construction – Manfred Jaeger, Aalborg Universitet, Fredrik Bajers Vej E, Dk- Aalborg Ø
Mining in the Proximity of Subgraphs – Nikhil S. Ketkar, et al. - 2006
Structure Learning for Statistical Relational Models – Jennifer Neville
3 Transforming Graph Data for Statistical Relational Learning – Ryan A. Rossi, Luke K. Mcdowell, David W. Aha, Jennifer Neville
ALGORITHMS FOR NON-PARAMETRIC CLASSIFIERS IN MULTI-RELATIONAL DATA MINING – Trilce M Encarnación, Edgar Acuña Fernandez - 2006
A Framework for Exploiting Temporal . . . – Umang Sharan - 2008
18 Temporal-relational classifiers for prediction in evolving domains – Umang Sharan - 2008
40 Learning Statistical Models from Relational Data – Lise Getoor, Luc De Raedt - 2001
6 A brief survey of machine learning methods for classification in networked data and an application to suspicion scoring – Sofus A. Macskassy, Foster Provost - 2006
33 Distribution-based aggregation for relational learning with identifier attributes – Claudia Perlich, Foster Provost - 2004