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ICDM
2005
IEEE
137views Data Mining» more  ICDM 2005»
15 years 9 months ago
Leveraging Relational Autocorrelation with Latent Group Models
The presence of autocorrelation provides a strong motivation for using relational learning and inference techniques. Autocorrelation is a statistical dependence between the values...
Jennifer Neville, David Jensen
APPINF
2003
15 years 5 months ago
Industrial Diagnostics using Algebra of Uncertain Temporal Relations
Industrial diagnostics is an important application area for many AI formalisms. Temporal diagnostics, based on analyzing temporal relations between values of crucial variables, is...
Vladimir Ryabov, Vagan Y. Terziyan
ACL
2011
14 years 7 months ago
In-domain Relation Discovery with Meta-constraints via Posterior Regularization
We present a novel approach to discovering relations and their instantiations from a collection of documents in a single domain. Our approach learns relation types by exploiting m...
Harr Chen, Edward Benson, Tahira Naseem, Regina Ba...
SIGIR
2005
ACM
15 years 9 months ago
Question answering passage retrieval using dependency relations
State-of-the-art question answering (QA) systems employ termdensity ranking to retrieve answer passages. Such methods often retrieve incorrect passages as relationships among ques...
Hang Cui, Renxu Sun, Keya Li, Min-Yen Kan, Tat-Sen...
ICDM
2003
IEEE
99views Data Mining» more  ICDM 2003»
15 years 9 months ago
Simple Estimators for Relational Bayesian Classifiers
In this paper we present the Relational Bayesian Classifier (RBC), a modification of the Simple Bayesian Classifier (SBC) for relational data. There exist several Bayesian classif...
Jennifer Neville, David Jensen, Brian Gallagher