Performances of product-form multi-class queuing networks can be determined from normalization constants. For large models, the evaluation of these performance metrics is not possible because of the involved amount of computer resources (either by using normaliza-tion constants or by using MVA approaches). Such large models can be evaluated with Monte Carlo methods. For a particular type of net...

Sur les programmes logiques localement stratii es 1 Anthony Karel Seda & Pascal Hitzler R esum e { Des id ees el ementaires de topologie dynamique sont utilis ees pour une approche constructive de la s emantique des mod eles parfaits de Przymusinski pour programmes localement stratii es. Nos r esultats comportent des applications de niveau qui prennent valeurs dans un ordinal d enombrable ar-bi...

this study has been conducted for the first time in iran, by contingent valuation method (cvm) and using extended linear expenditure system (eles) to estimate nonrnarket services of gerebygan manmade forest. according to this study the existance value of three principal nonrnarket services including climat regulation, erosion control and habitat/refugia estimated respectively at 32250934930 ria...

در بررسی­های فونستیک سال 2011 دامنه جنوبی رشته کوه­های زاگرس ایران، یک نمونه ماده از گونه Amphipyra kautti Hacker, 2002 متعلق به خانواده Noctuidae و زیرخانواده Amphipyrinae مناطق کوهستانی استان کهگیلویه بویراحمد جمع­ آوری شناسایی شد. این که برای اولین بار ایران گزارش می­شود، همراه با ویژگی­های افتراقی، تصویر الگوی بال اندام تناسلی شده ارائه است. اطلاعات مربوط دیگر همین جنس مطالعه نیز

An investigation into the use of Bayesian learning of the parameters of a multivariate Gaussian mixture density has been carried out. In a framework of continuous density hidden Markov model (CDHMM), Bayesian learning serves as a uni ed approach for parameter smoothing, speaker adaptation, speaker clustering and corrective training. The goal is to enhance model robustness in a CDHMM-based speec...

Nowadays, programming distributed memory parallel computers (DMPCs) evokes the \no pain, no gain" idea. That is, for a given problem to be solved in parallel, the message passing programming model involves distributing the data and the computations among the processors. While this can be easily feasible for well structured problems, it can become fairly hard on unstructured ones, like sparse ma...

With emphasis on the graph structure of energy-based models devoted to image analysis, we investigate eecient procedures for sampling and inferring. We show that triangulated graphs, whom trees are simple instances of, always support causal models for which noniterative procedures can be devised to minimize the energy, to extract probabilistic descriptions, to sample from corresponding prior an...