Different quantifier types in Quantified Boolean Formulae (QBF) introduce variable dependencies which have to be taken into consideration when deciding satisfiability of a QBF....
The construction of causal graphs from non-experimental data rests on a set of constraints that the graph structure imposes on all probability distributions compatible with the gr...
LMNtal (pronounced “elemental”) is a simple language model based on graph rewriting that uses logical variables to represent links and membranes to represent hierarchies. The ...
The multi domain nature of a mechatronic system makes it difficult to model using a single modeling technique over the whole system as varying sets of system variables are require...
Data Mining with Bayesian Network learning has two important characteristics: under broad conditions learned edges between variables correspond to causal influences, and second, f...
Ioannis Tsamardinos, Constantin F. Aliferis, Alexa...