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ML
2012
ACM
413views Machine Learning» more  ML 2012»
13 years 9 months ago
Gradient-based boosting for statistical relational learning: The relational dependency network case
Dependency networks approximate a joint probability distribution over multiple random variables as a product of conditional distributions. Relational Dependency Networks (RDNs) are...
Sriraam Natarajan, Tushar Khot, Kristian Kersting,...
JMLR
2012
13 years 4 months ago
Low rank continuous-space graphical models
Constructing tractable dependent probability distributions over structured continuous random vectors is a central problem in statistics and machine learning. It has proven diffic...
Carl Smith, Frank Wood, Liam Paninski
ICDM
2007
IEEE
198views Data Mining» more  ICDM 2007»
15 years 8 months ago
Social Network Extraction of Academic Researchers
This paper addresses the issue of extraction of an academic researcher social network. By researcher social network extraction, we are aimed at finding, extracting, and fusing the...
Jie Tang, Duo Zhang, Limin Yao
SAS
2007
Springer
106views Formal Methods» more  SAS 2007»
15 years 7 months ago
Guided Static Analysis
In static analysis, the semantics of the program is expressed as a set ions. The equations are solved iteratively over some abstract domain. If ract domain is distributive and sati...
Denis Gopan, Thomas W. Reps
CIKM
2008
Springer
15 years 3 months ago
Closing the loop in webpage understanding
The two most important tasks in information extraction from the Web are webpage structure understanding and natural language sentences processing. However, little work has been don...
Chunyu Yang, Yong Cao, Zaiqing Nie, Jie Zhou, Ji-R...