Decision-theoretic models have become increasingly popular as a basis for solving agent and multiagent problems, due to their ability to quantify the complex uncertainty and prefe...
Based on a recent development in the area of error control coding, we introduce the notion of convolutional factor graphs (CFGs) as a new class of probabilistic graphical models. ...
The MOF Query, View and Transformation RFP, issued by OMG will result in a key enabling technology for modeldriven development of large distributed systems. We have designed a tra...
Keith Duddy, Anna Gerber, Michael Lawley, Kerry Ra...
Layer decomposition from a single image is an underconstrained problem, because there are more unknowns than equations. This paper studies a slightly easier but very useful altern...
This paper introduces a real rational module framework in the context of Prediction Error Identification using Box-Jenkins model structures. This module framework, which can easily...
Tzvetan Ivanov, Pierre-Antoine Absil, Brian D. O. ...