October 22, 2013
Comments Off on Maximum Likelihood Estimation from Uncertain Data in the Belief Function Framework
Posted in: Final year projects
Abstract We consider the problem of parameter estimation in statistical models in the case where data are uncertain and represented as belief functions. The proposed method is based on the maximization of a generalized likelihood criterion, which can be interpreted as a degree of agreement between the statistical model and the uncertain observations. We propose […]
October 22, 2013
Comments Off on Region-Based Foldings in Process Discovery
Posted in: Final year projects
Abstract A central problem in the area of Process Mining is to obtain a formal model that represents the processes that are conducted in a system. If realized, this simple motivation allows for powerful techniques that can be used to formally analyze and optimize a system, without the need to resort to its semiformal and […]