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ECCV
1994
Springer
15 years 10 months ago
Markov Random Field Models in Computer Vision
A variety of computer vision problems can be optimally posed as Bayesian labeling in which the solution of a problem is dened as the maximum a posteriori (MAP) probability estimate...
Stan Z. Li
ANSS
2001
IEEE
15 years 9 months ago
Models of Complex Physical Systems Using Cell-DEVS
We present the definition of diverse models of physical systems using the Cell-DEVS paradigm. Cell-DEVS is an extension of the DEVS formalism that allows the definition of cellula...
Javier Ameghino, Alejandro Troccoli, Gabriel A. Wa...
KDD
1995
ACM
128views Data Mining» more  KDD 1995»
15 years 9 months ago
Discovery of Concurrent Data Models from Experimental Tables: A Rough Set Approach
The main objective of machine discovery is the determination of relations between data and of data models. In the paper we describe a method for discovery of data models represent...
Andrzej Skowron, Zbigniew Suraj
AAAI
2007
15 years 8 months ago
Modeling Contextual Factors of Click Rates
In this paper, we develop and evaluate several probabilistic models of user click-through behavior that are appropriate for modeling the click-through rates of items that are pres...
Hila Becker, Christopher Meek, David Maxwell Chick...
BIS
2008
119views Business» more  BIS 2008»
15 years 7 months ago
Influence Factors of Understanding Business Process Models
The increasing utilization of business process models both in business analysis and information systems development raises several issues regarding quality measures. In this contex...
Jan Mendling, Mark Strembeck