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NIPS
2007
15 years 6 months ago
Agreement-Based Learning
The learning of probabilistic models with many hidden variables and nondecomposable dependencies is an important and challenging problem. In contrast to traditional approaches bas...
Percy Liang, Dan Klein, Michael I. Jordan
KDD
2004
ACM
170views Data Mining» more  KDD 2004»
16 years 5 months ago
Why collective inference improves relational classification
Procedures for collective inference make simultaneous statistical judgments about the same variables for a set of related data instances. For example, collective inference could b...
David Jensen, Jennifer Neville, Brian Gallagher
WEBDB
2005
Springer
100views Database» more  WEBDB 2005»
15 years 10 months ago
Malleable Schemas: A Preliminary Report
Large-scale information integration, and in particular, search on the World Wide Web, is pushing the limits on the combination of structured data and unstructured data. By its ver...
Xin Dong, Alon Y. Halevy
CCCG
2008
15 years 6 months ago
Polar Diagram of Moving Objects
Many important problems in Computational Geometry needs to perform some kind of angle processing. The Polar Diagram [4] is a locus approach for problems processing angles. Using t...
Mojtaba Nouri Bygi, Mohammad Ghodsi
WWW
2005
ACM
16 years 5 months ago
Web log mining with adaptive support thresholds
With the fast increase in Web activities, Web data mining has recently become an important research topic. However, most previous studies of mining path traversal patterns are bas...
Jian Chih Ou, Chang-Hung Lee, Ming-Syan Chen