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Publications of Author

1. Jennifer Neville
   Structure Learning for Statistical Relational Models. [Citation Graph (0, 0)][DBLP]
   AAAI, 2005, pp:1656-1657 [Conf]
   
2. Jennifer Neville, David Jensen
   Leveraging relational autocorrelation with latent group models. [Citation Graph (0, 0)][DBLP]
   Probabilistic, Logical and Relational Learning, 2005, pp:- [Conf]
   
3. Jennifer Neville, David Jensen
   Dependency Networks for Relational Data. [Citation Graph (0, 0)][DBLP]
   ICDM, 2004, pp:170-177 [Conf]
   
4. Jennifer Neville, David Jensen
   Leveraging Relational Autocorrelation with Latent Group Models. [Citation Graph (0, 0)][DBLP]
   ICDM, 2005, pp:322-329 [Conf]
   
5. Jennifer Neville, David Jensen, Brian Gallagher
   Simple Estimators for Relational Bayesian Classifiers. [Citation Graph (0, 0)][DBLP]
   ICDM, 2003, pp:609-612 [Conf]
   
6. David Jensen, Jennifer Neville
   Linkage and Autocorrelation Cause Feature Selection Bias in Relational Learning. [Citation Graph (0, 0)][DBLP]
   ICML, 2002, pp:259-266 [Conf]
   
7. David Jensen, Jennifer Neville, Michael Hay
   Avoiding Bias when Aggregating Relational Data with Degree Disparity. [Citation Graph (0, 0)][DBLP]
   ICML, 2003, pp:274-281 [Conf]
   
8. David Jensen, Jennifer Neville
   Autocorrelation and Linkage Cause Bias in Evaluation of Relational Learners. [Citation Graph (0, 0)][DBLP]
   ILP, 2002, pp:101-116 [Conf]
   
9. David Jensen, Jennifer Neville, Brian Gallagher
   Why collective inference improves relational classification. [Citation Graph (0, 0)][DBLP]
   KDD, 2004, pp:593-598 [Conf]
   
10. Jennifer Neville, David Jensen, Lisa Friedland, Michael Hay
    Learning relational probability trees. [Citation Graph (0, 0)][DBLP]
    KDD, 2003, pp:625-630 [Conf]
    
11. Jennifer Neville, Özgür Simsek, David Jensen, John Komoroske, Kelly Palmer, Henry G. Goldberg
    Using relational knowledge discovery to prevent securities fraud. [Citation Graph (0, 0)][DBLP]
    KDD, 2005, pp:449-458 [Conf]
    
12. Amy McGovern, Lisa Friedland, Michael Hay, Brian Gallagher, Andrew Fast, Jennifer Neville, David Jensen
    Exploiting relational structure to understand publication patterns in high-energy physics. [Citation Graph (0, 0)][DBLP]
    SIGKDD Explorations, 2003, v:5, n:2, pp:165-172 [Journal]
    
13. 
    Database Support for Probabilistic Attributes and Tuples. [Citation Graph (, )][DBLP]
    
    
14. 
    A Shrinkage Approach for Modeling Non-stationary Relational Autocorrelation. [Citation Graph (, )][DBLP]
    
    
15. 
    Pseudolikelihood EM for Within-network Relational Learning. [Citation Graph (, )][DBLP]
    
    
16. 
    Temporal-Relational Classifiers for Prediction in Evolving Domains. [Citation Graph (, )][DBLP]
    
    
17. 
    Evaluating Statistical Tests for Within-Network Classifiers of Relational Data. [Citation Graph (, )][DBLP]
    
    
18. 
    Bias/Variance Analysis for Relational Domains. [Citation Graph (, )][DBLP]
    
    
19. 
    Predicting Prefix Availability in the Internet. [Citation Graph (, )][DBLP]
    
    
20. 
    ERACER: a database approach for statistical inference and data cleaning. [Citation Graph (, )][DBLP]
    
    
21. 
    GDR: a system for guided data repair. [Citation Graph (, )][DBLP]
    
    
22. 
    Randomization tests for distinguishing social influence and homophily effects. [Citation Graph (, )][DBLP]
    
    
23. 
    Modeling relationship strength in online social networks. [Citation Graph (, )][DBLP]
    
    
24. 
    Using Transactional Information to Predict Link Strength in Online Social Networks. [Citation Graph (, )][DBLP]