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» Learning Probabilistic Models of Relational Structure
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SIGMOD
2001
ACM
145views Database» more  SIGMOD 2001»
16 years 21 days ago
Automatic Segmentation of Text into Structured Records
In this paper we present a method for automatically segmenting unformatted text records into structured elements. Several useful data sources today are human-generated as continuo...
Vinayak R. Borkar, Kaustubh Deshmukh, Sunita Saraw...
UAI
1997
15 years 1 months ago
Object-Oriented Bayesian Networks
Bayesian networks provide a modeling language and associated inference algorithm for stochastic domains. They have been successfully applied in a variety of medium-scale applicati...
Daphne Koller, Avi Pfeffer
96
Voted
ICDM
2009
IEEE
112views Data Mining» more  ICDM 2009»
15 years 7 months ago
Resolving Identity Uncertainty with Learned Random Walks
A pervasive problem in large relational databases is identity uncertainty which occurs when multiple entries in a database refer to the same underlying entity in the world. Relati...
Ted Sandler, Lyle H. Ungar, Koby Crammer
FGR
2000
IEEE
112views Biometrics» more  FGR 2000»
15 years 5 months ago
A Probabilistic Sensor for the Perception of Activities
This paper presents a new technique for the perception of activities using statistical description of spatio-temporal properties. With this approach, the probability of an activit...
Olivier Chomat, James L. Crowley
UAI
2003
15 years 1 months ago
Collaborative Ensemble Learning: Combining Collaborative and Content-Based Information Filtering via Hierarchical Bayes
Collaborative filtering (CF) and contentbased filtering (CBF) have widely been used in information filtering applications, both approaches having their individual strengths and...
Kai Yu, Anton Schwaighofer, Volker Tresp, Wei-Ying...