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...
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...
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,...
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...
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...