Analyzing metabolic pathways by means of their steady states has proven to be accurate and efficient for practical purposes. The models such as elementary flux modes (EFMs) and ex...
In this paper, we demonstrate the prototype of a modelling tool that applies graph-based rules for identifying problems in business process models. The advantages of our approach a...
We present a generative probabilistic model for the topographic mapping of tree structured data. The model is formulated as constrained mixture of hidden Markov tree models. A nat...
Unlike microscopic physics models, agent-based artificial life models are commonly constructed without a strict energy conservation rule. We report on the effects of incorporating...
Despite the popularity of connectionist models in cognitive science, their performance can often be difficult to evaluate. Inspired by the geometric approach to statistical model ...
Woojae Kim, Daniel J. Navarro, Mark A. Pitt, In Ja...