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ACL
2003
15 years 3 months ago
tRuEcasIng
Truecasing is the process of restoring case information to badly-cased or noncased text. This paper explores truecasing issues and proposes a statistical, language modeling based ...
Lucian Vlad Lita, Abraham Ittycheriah, Salim Rouko...
100
Voted
BMCBI
2008
132views more  BMCBI 2008»
15 years 2 months ago
Clustering ionic flow blockade toggles with a Mixture of HMMs
Background: Ionic current blockade signal processing, for use in nanopore detection, offers a promising new way to analyze single molecule properties with potential implications f...
Alexander G. Churbanov, Stephen Winters-Hilt
127
Voted
CSDA
2006
100views more  CSDA 2006»
15 years 2 months ago
Implementing a class of structural change tests: An econometric computing approach
The implementation of a recently suggested class of structural change tests, which test for parameter instability in general parametric models, in the R language for statistical c...
Achim Zeileis
AAAI
2007
15 years 4 months ago
Learning by Reading: A Prototype System, Performance Baseline and Lessons Learned
A traditional goal of Artificial Intelligence research has been a system that can read unrestricted natural language texts on a given topic, build a model of that topic and reason...
Ken Barker, Bhalchandra Agashe, Shaw Yi Chaw, Jame...
TCSV
2010
14 years 8 months ago
A Hierarchical Bayesian Generation Framework for Vacant Parking Space Detection
In this paper, from the viewpoint of scene understanding, a 3-layer Bayesian hierarchical framework (BHF) is proposed for robust vacant parking space detection. In practice, the ch...
Chingchun Huang, Sheng-Jyh Wang