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ACL
1994
13 years 9 months ago
Word-Sense Disambiguation Using Decomposable Models
Most probabilistic classi ers used for word-sense disambiguationhave either been based on onlyone contextual feature or have used a model that is simply assumed to characterize th...
Rebecca F. Bruce, Janyce Wiebe
ICDAR
2009
IEEE
14 years 2 months ago
Learning Rich Hidden Markov Models in Document Analysis: Table Location
Hidden Markov Models (HMM) are probabilistic graphical models for interdependent classification. In this paper we experiment with different ways of combining the components of an ...
Ana Costa e Silva
COMPSAC
2009
IEEE
14 years 2 months ago
Reliability Modeling for the Advanced Electric Power Grid: A Proposal for Doctoral Research
The advanced electric power grid is a cyber-physical system comprised of physical components such as power generators and transmission lines, and cyber components that control the...
Ayman Z. Faza, Sahra Sedigh, Bruce M. McMillin
BMEI
2008
IEEE
14 years 2 months ago
Reenginering Clinical Research Teams: An Organizational Modeling Approach
In this study, simulation models were developed to explore the effects of decentralization and interdependence on individuals working in research groups. We conducted the study by...
Elias Cesar Araujo De Carvalho, Jatin Shah, Anand ...
CVPR
2008
IEEE
14 years 2 months ago
Modeling the structure of multivariate manifolds: Shape maps
We propose a shape population metric that reflects the interdependencies between points observed in a set of examples. It provides a notion of topology for shape and appearance m...
Georg Langs, Nikos Paragios