In this paper we demonstrate how a computational physics approach based on a discrete particle model can be employed for the visualization of magnetic field lines. This can be reg...
Software architecture descriptions can play a wide variety of roles in the software lifecycle, from requirements specification, to logical design, to implementation architectures....
We present some novel machine learning techniques for the identification of subcategorization information for verbs in Czech. We compare three different statistical techniques app...
We begin by discussing causal independence models and generalize these models to causal interaction models. Causal interaction models are models that have independent mechanisms w...
I introduce a temporal belief-network representation of causal independence that a knowledge engineer can use to elicit probabilistic models. Like the current, atemporal belief-ne...