this research work is aimed at identifying personality traits, mental disorders and demographic features predicting divorce among couples in tehran. the research method is casual-comparative and the sample was selected using the clustering sampling method. to select the sample, 3 judicial complexes were selected randomly from among the family judicial complexes in tehran, iran, and from among t...

This paper is concerned with speech presence probability estimation employing an explicit model of the temporal and spectral correlations of speech. An undirected graphical model is introduced, based on a Factor Graph formulation. It is shown that this undirected model cures some of the theoretical issues of an earlier directed graphical model. Furthermore, we formulate a message passing infere...

Risk analysis methodologies can be useful tools to help decision-makers in dam safety engineering. One of the inputs needed for Quantitative Risk Analysis is an estimate of the probability of failure of the dam under study. Existing dams have been designed using the factor of safety, which is a concept associated with a certain mathematical model of the physical behavior of the dam. In dam engi...

In this paper, we will consider the free probability on the free group factor L(F N), in terms of Graph W *-probability, where F k is the free group with k-generators. The main result of this paper is to reformulate the moment series and the R-transform of the operator T 0 = N j=1 (x j) , where x j 's are free semicircular elements, j = 1, ..., N, generating L(F N), by using the Graph W *-proba...

In realistic decision problems there is more often than not uncertainty in the background information. As for representation of uncertain or imprecise probability values, second-order probability, i.e. probability distributions over probabilities, offers an option. With a subjective view of probability second-order probability would seem to be impractical since it is hard for a person to constr...

An incremental, nonparametric probability estimation procedure using a variation of the Fuzzy ARTMAP (FAM) neural network is introduced. The resulted network, called Fuzzy ARTMAP with Relevance factor (FAMR), uses a relevance factor assigned to each sample pair, proportional to the importance of that pair during the learning phase. We prove that our probability estimator is correct. The FAMR ca...