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Jennifer Neville: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

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]


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