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» Learning Probabilistic Models of Relational Structure
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PODS
2008
ACM
204views Database» more  PODS 2008»
16 years 18 days ago
Annotated XML: queries and provenance
We present a formal framework for capturing the provenance of data appearing in XQuery views of XML. Building on previous work on relations and their (positive) query languages, w...
J. Nathan Foster, Todd J. Green, Val Tannen
120
Voted
CIKM
2011
Springer
14 years 14 days ago
Content based social behavior prediction: a multi-task learning approach
The study of information flow analyzes the principles and mechanisms of social information distribution. It is becoming an extremely important research topic in social network re...
Hongliang Fei, Ruoyi Jiang, Yuhao Yang, Bo Luo, Ju...
109
Voted
BMCBI
2010
147views more  BMCBI 2010»
15 years 18 days ago
Learning biological network using mutual information and conditional independence
Background: Biological networks offer us a new way to investigate the interactions among different components and address the biological system as a whole. In this paper, a revers...
Dong-Chul Kim, Xiaoyu Wang, Chin-Rang Yang, Jean G...
146
Voted
GLOBECOM
2010
IEEE
14 years 10 months ago
Cognitive Network Inference through Bayesian Network Analysis
Cognitive networking deals with applying cognition to the entire network protocol stack for achieving stack-wide as well as network-wide performance goals, unlike cognitive radios ...
Giorgio Quer, Hemanth Meenakshisundaram, Tamma Bhe...
125
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ICDM
2009
IEEE
233views Data Mining» more  ICDM 2009»
15 years 7 months ago
Semi-Supervised Sequence Labeling with Self-Learned Features
—Typical information extraction (IE) systems can be seen as tasks assigning labels to words in a natural language sequence. The performance is restricted by the availability of l...
Yanjun Qi, Pavel Kuksa, Ronan Collobert, Kunihiko ...