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» Refactoring Process Models in Large Process Repositories
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ICCV
2005
IEEE
15 years 10 months ago
Learning Models for Predicting Recognition Performance
This paper addresses one of the fundamental problems encountered in performance prediction for object recognition. In particular we address the problems related to estimation of s...
Rong Wang, Bir Bhanu
MODELS
2009
Springer
15 years 9 months ago
Teaching Modeling: Why, When, What?
This paper reports on a panel discussion held during the Educators’ Symposium at MODELS’2009. It shortly explains the context provided for the discussion and outlines the state...
Jean Bézivin, Robert France, Martin Gogolla...
WSC
2007
15 years 6 months ago
A hybrid epidemic model: combining the advantages of agent-based and equation-based approaches
Agent-based models (ABMs) are powerful in describing structured epidemiological processes involving human behavior and local interaction. The joint behavior of the agents can be v...
Georgiy V. Bobashev, D. Michael Goedecke, Feng Yu,...
NIPS
2008
15 years 5 months ago
Stochastic Relational Models for Large-scale Dyadic Data using MCMC
Stochastic relational models (SRMs) [15] provide a rich family of choices for learning and predicting dyadic data between two sets of entities. The models generalize matrix factor...
Shenghuo Zhu, Kai Yu, Yihong Gong
ADAEUROPE
2006
Springer
15 years 10 months ago
A Software Reliability Model Based on a Geometric Sequence of Failure Rates
Software reliability models are an important tool in quality management and release planning. There is a large number of different models that often exhibit strengths in differen...
Stefan Wagner, Helmut Fischer