We show the potential for classifying images of mixtures of aggregate, based themselves on varying, albeit well-defined, sizes and shapes, in order to provide a far more effective...
− During almost fifty years the Fade Duration Distribution (FDD) of random signals has been an open research topic. However, for Nakagami fading channels, and in general for the ...
This paper presents a theoretical definition for designing EDAs called Elitist Convergent Estimation of Distribution Algorithm (ECEDA), and a practical implementation: the Boltzm...
Determination of credit portfolio loss distributions is essential for the valuation and risk management of multiname credit derivatives such as CDOs. The default time model has re...
In the information regularization framework by Corduneanu and Jaakkola (2005), the distributions of labels are propagated on a hypergraph for semi-supervised learning. The learnin...