We address the problem of learning the parameters in graphical models when inference is intractable. A common strategy in this case is to replace the partition function with its B...
— This paper presents a new method allowing haptic feedback in molecular docking simulations using a minimization process. These simulations, classically used by the pharmaceutic...
— With the rapid growth of Internet, parameter design and analysis for large-scale networks has become a topic of active interest. Since simulation of such large scale systems is...
Abstract. Classifiers based on Gaussian mixture models are good performers in many pattern recognition tasks. Unlike decision trees, they can be described as stable classifier: a s...
Jonas Richiardi, Andrzej Drygajlo, Laetitia Todesc...
In this paper the control of exible joint manipulators is studied in detail. The model of N{axis exible joint manipulators are derived and reformulated in the form of singular per...