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Note: Links lead to the DBLP on the Web. Jennifer Neville Jennifer Neville: Structure Learning for Statistical Relational Models. AAAI 2005 : 1656-1657 Jennifer Neville, David Jensen : Leveraging Relational Autocorrelation with Latent Group Models. ICDM 2005 : 322-329 Jennifer Neville, Özgür Simsek , David Jensen , John Komoroske , Kelly Palmer , Henry Goldberg : Using relational knowledge discovery to prevent securities fraud. KDD 2005 : 449-458 Jennifer Neville, David Jensen : Leveraging relational autocorrelation with latent group models. Probabilistic, Logical and Relational Learning 2005 Jennifer Neville, David Jensen : Dependency Networks for Relational Data. ICDM 2004 : 170-177 David Jensen , Jennifer Neville, Brian Gallagher : Why collective inference improves relational classification. KDD 2004 : 593-598 Jennifer Neville, David Jensen , Brian Gallagher : Simple Estimators for Relational Bayesian Classifiers. ICDM 2003 : 609-612 David Jensen , Jennifer Neville, Michael Hay : Avoiding Bias when Aggregating Relational Data with Degree Disparity. ICML 2003 : 274-281 Jennifer Neville, David Jensen , Lisa Friedland , Michael Hay : Learning relational probability trees. KDD 2003 : 625-630 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. SIGKDD Explorations 5 (2): 165-172 (2003) David Jensen , Jennifer Neville: Linkage and Autocorrelation Cause Feature Selection Bias in Relational Learning. ICML 2002 : 259-266 David Jensen , Jennifer Neville: Autocorrelation and Linkage Cause Bias in Evaluation of Relational Learners. ILP 2002 : 101-116 1 [ 3 ] 2 [ 3 ] [ 4 ] 3 [ 3 ] [ 6 ] [ 7 ] 4 [ 10 ] 5 [ 3 ] [ 4 ] [ 5 ] 6 [ 1 ] [ 2 ] [ 3 ] [ 4 ] [ 5 ] [ 6 ] [ 7 ] [ 8 ] [ 9 ] [ 10 ] [ 11 ] 7 [ 10 ] 8 [ 3 ] 9 [ 10 ] 10 [ 10 ]  ©2006 Association for Computing Machinery |
