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» Learning Probabilistic Models of Link Structure
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AAAI
2008
15 years 4 months ago
Structure Learning on Large Scale Common Sense Statistical Models of Human State
Research has shown promise in the design of large scale common sense probabilistic models to infer human state from environmental sensor data. These models have made use of mined ...
William Pentney, Matthai Philipose, Jeff A. Bilmes
IJAR
2010
152views more  IJAR 2010»
15 years 6 days ago
Structural-EM for learning PDG models from incomplete data
Probabilistic Decision Graphs (PDGs) are a class of graphical models that can naturally encode some context specific independencies that cannot always be efficiently captured by...
Jens D. Nielsen, Rafael Rumí, Antonio Salme...
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COLING
2008
15 years 3 months ago
A Fully-Lexicalized Probabilistic Model for Japanese Zero Anaphora Resolution
This paper presents a probabilistic model for Japanese zero anaphora resolution. First, this model recognizes discourse entities and links all mentions to them. Zero pronouns are ...
Ryohei Sasano, Daisuke Kawahara, Sadao Kurohashi
BMCBI
2006
195views more  BMCBI 2006»
15 years 1 months ago
Hubs of knowledge: using the functional link structure in Biozon to mine for biologically significant entities
Background: Existing biological databases support a variety of queries such as keyword or definition search. However, they do not provide any measure of relevance for the instance...
Paul Shafer, Timothy Isganitis, Golan Yona
ICML
2000
IEEE
16 years 2 months ago
Learning to Probabilistically Identify Authoritative Documents
We describe a model of document citation that learns to identify hubs and authorities in a set of linked documents, such as pages retrieved from the world wide web, or papers retr...
David Cohn, Huan Chang