Statistical Relational Learning Group
Publications
] Practical Planning in COLLAGE. Proceedings of the AAAI Fall Symposium on Planning and Learning: On to Real Applications (1994).
Scope and Abstraction: Two Criteria for Localized Planning. Proceedings of the Workshop on Theory Reformulation and Abstraction (1994).
. The Collage/Khoros Link: Planning for Image Processing Tasks. Proceedings of the AAAI Spring Symposium on Integrated Planning Applications (1995).
Scope and Abstraction: Two Criteria for Localized Planning. Proceedings of the International Joint Conference on Arti cial Intelligence (1995).
Effictive Redundant Constraints for Online Scheduling. Proceedings of the Fourteenth national Conference on Artificial Intelligence (1997).
Online Scheduling for Reprographic Machines. Working notes AAAI Workshop on Online Search (1997).
Using Classi cation Techniques for Utility Elicitation: A Comparison between StandardGamble and Visual Analog Scale Methods. Twentieth Anniversary Meeting of the Society for Medical Decision Making (1998).
Utility Elicitation as a Classi cation Problem. Uncertainty in Arti cial Intelligence (1998).
Utility Elicitation as a Classification Problem. Proceedings of the AAAI Spring Symposium Series on Interactive and Mixed Initiative Decision-Theoretic Systems (1998).
Efficient Learning Using Constrained Sufficient Statistics. Uncertainty99 (1999).
Learning Probabilistic Relational Models. International Joint Conference on Arti cial Intelligence (1999).
icjai99.pdf (156.94 KB)
icjai99.pdf (156.94 KB) Using Probabilistic Relational Models for Collaborative Filtering. Working Notes of the KDD Workshop on Web Usage Analysis and User Profiling (1999).
From Instances to Classes in Probabilistic Relational Models. Proceedings of the ICML Workshop on Attribute-Value and Relational Learning: Crossing the Boundaries (2000).
From Instances to Classes in Probabilistic Relational Models. Proceedings of the ICML Workshop on Attribute-Value and Relational Learning: Crossing the Boundaries (2000).
Learning Probabilistic Relational Models with Structural Uncertainty. Proceedings of the AAAI Workshop on Learning Statistical Models from Relational Data (2000).
Using Feature Hierarchies in Bayesian Network Learning. Symposium on Abstraction, Reformulation and Approximation (2000).
Learning Probabilistic Models of Relational Structure. Proceedings of International Conference on Machine Learning (ICML) (2001). icml01.pdf (157.91 KB)
icml01.pdf (157.91 KB) Relational Data Mining () (Springer-Verlag, 2001).
Learning Probabilistic Relational Models. Relational Data Mining (Springer-Verlag, 2001). lprm-ch.pdf (376 KB)
lprm-ch.pdf (376 KB) Learning Statistical Models from Relational Data. (2001). getoor-thesis.pdf (3.39 MB)
getoor-thesis.pdf (3.39 MB) Multi-relational Data Mining Using Probabilistic Models. Multi-Relational Data Mining Workshop (2001). mrdm.pdf (109.57 KB)
mrdm.pdf (109.57 KB) Probabilistic Models of Text and Link Structure for Hypertext Classification. IJCAI Workshop on Text Learning: Beyond Supervision (2001). ijcai01-ws.pdf (127.03 KB)
ijcai01-ws.pdf (127.03 KB) Selectivity estimation using probabilistic relational models. Proceedings of ACM-SIGMOD 2001 International Conference on Management of Data (2001). sigmod01.pdf (471.72 KB)
sigmod01.pdf (471.72 KB) Learning Probabilistic Models of Link Structure. Journal of Machine Learning Research 3, 679- -707 (2002). jmlr02.pdf (502.22 KB)
jmlr02.pdf (502.22 KB) Learning Structured Statistical Models from Relational Data. Electronic Transactions on Artificial Intelligence 6, (2002).
Link-based Classification. Proceedings of the International Conference on Machine Learning (ICML) (2003). lu-icml03.pdf (195.81 KB)
lu-icml03.pdf (195.81 KB) Link-based Classification Using Labeled and Unlabeled Data. ICML Workshop on "The Continuum from Labeled to Unlabeled Data in Machine Learning and Data Mining (2003). icml03-ws.pdf (274.65 KB)
icml03-ws.pdf (274.65 KB) Link-based Text Classification. IJCAI Workshop on "Text Mining and Link Analysis" (2003). ijcai03-ws.pdf (97.25 KB)
ijcai03-ws.pdf (97.25 KB) PXML: A Probabilistic Semistructured Data Model and Algebra. Proceedings of the IEEE International Conference on Data Engineering (2003).
Probabilistic Interval XML. Proceedings of the International Conference on Database Theory (2003).
Structure Discovery Using Statistical Relational Learning. Data Engineering Bulletin 26, 11- -18 (2003).
Deduplication and Group Detection using Links. ACM SIGKDD Workshop on Link Analysis and Group Detection (LinkKDD) (2004). bhattacharyakdd04-whskp.pdf (231.67 KB)
bhattacharyakdd04-whskp.pdf (231.67 KB) Iterative Record Linkage for Cleaning and Integration. ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery (DMKD) (2004). bhattacharyasigmod04-wkshp.pdf (222.38 KB)
bhattacharyasigmod04-wkshp.pdf (222.38 KB) Understanding Tuberculosis Epidemiology Using Probabilistic Relational Models. AI in Medicine Journal 30, 233-256 (2004).
Unsupervised Sense Disambiguation using Bilingual Probabilistic Models. Annual Meeting of the Association for Computational Linguistics (ACL) (2004). acl04.pdf (156.26 KB)
acl04.pdf (156.26 KB) Using the Structure of Web Sites for Automatic Segmentation of Tables. In Proceedings of ACM-SIGMOD 2004 International Conference on Management of Data (2004). lerman-sigmod04.pdf (307.43 KB)
lerman-sigmod04.pdf (307.43 KB) Bayesian Network Learning with Abstraction Hierarchies and Context-Specific Independence. 16th European Conference on Machine Learning (ECML) (2005).
Capital and Benefit in Social Networks. ACM SIGKDD Workshop on Link Analysis and Group Detection (LinkKDD) (2005). licamele_linkkdd05.pdf (421.14 KB)
licamele_linkkdd05.pdf (421.14 KB) D-Dupe: An Interactive Tool for Entity Resolution in Social Networks. International Symposium on Graph Drawing () 3843, 505–507 (Springer, 2005). ddupe.pdf (224.93 KB)
ddupe.pdf (224.93 KB) Advanced Methods for Knowledge Discovery from Complex Data () (Springer-Verlag, 2005).
Pruning Social Networks Using Structural Properties and Descriptive Attributes. IEEE International Conference on Data Mining (ICDM) 773-776 (2005). singh_icdm05.pdf (149.45 KB)
singh_icdm05.pdf (149.45 KB) Relational Clustering for Multi-type Entity Resolution. ACM SIGKDD Workshop on Multi Relational Data Mining (MRDM) (2005). bhattacharyakdd05-whskp.pdf (259.82 KB)
bhattacharyakdd05-whskp.pdf (259.82 KB) Cost-Sensitive Learning with Conditional Markov Networks. SIAM Data Mining Workshop on Link Analysis, Counterterrorism and Security (2006). sensiam_lacs06.pdf (137.37 KB)
sensiam_lacs06.pdf (137.37 KB) Cost-Sensitive Learning with Conditional Markov Networks. International Conference on Machine Learning (2006). senicml06.pdf (118.33 KB)
senicml06.pdf (118.33 KB) D-Dupe: An Interactive Tool for Entity Resolution in Social Networks. Visual Analytics Science and Technology (VAST) (2006).
Empirical Comparison of Approximate Inference Algorithms for Networked Data. ICML Workshop on Statistical Relational Learning (SRL) (2006). sensrl06.pdf (225.32 KB)
sensrl06.pdf (225.32 KB) Entity Resolution in Geospatial Data Integration. ACM GIS (2006).