—This paper presents a novel probabilistic approach to hierarchical, exemplar-based shape matching. No feature correspondence is needed among exemplars, just a suitable pairwise ...
In this paper, we perform Bayesian inference and prediction for a GARCH model where the innovations are assumed to follow a mixture of two Gaussian distributions. This GARCH model...
Bayesian networks (BNs) are used to represent and ef ciently compute with multi-variate probability distributions in a wide range of disciplines. One of the main approaches to per...
— In this paper we give a theoretical model for determining the synchronization frequency that minimizes the parallel execution time of loops with uniform dependencies dynamicall...
Florina M. Ciorba, Ioannis Riakiotakis, Theodore A...
Abstract. Developmentof category structure in communicationis studied by a constructive approach. Individuals having a word relation matrix as their internal structure communicate ...