Diffusion through semipermeable structures arises in a wide range of processes the physical and life sciences. Examples at microscopic level from artificial membranes for reverse osmosis to lipid bilayers regulating molecular transport biological cells chemical electrical gap junctions. There are also macroscopic analogs such as animal migration heterogeneous landscapes. It has recently been sh...

the first spoken dialogue system developed for the persian language is introduced. this is a ticket reservation system with persian asr and nlu modules. the focus of the paper is on learning the dialogue management module. in this work, real on-line training data are used during the learning process. for on-line learning, the effect of the variations of discount factor (g) on the learning speed...

This paper introduces the probabilistic module interface, which allows encapsulation of complex probabilistic models with latent variables alongside custom stochastic approximate inference machinery, and provides a platform-agnostic abstraction barrier separating the model internals from the host probabilistic inference system. The interface can be seen as a stochastic generalization of a stand...

“synopsis and explainer” methodological discussion has been reflexed, in literary domain, as stipulation and constraint; but synopsis explanation seems being different to what happens in methodology because sometimes the meanings of lexical items and combinations are given on individual, probabilistic, and untrustworthy interpretations. present paper, applying few lines of nasser khosrow’s seco...

Abstract. External barrier options are two-asset options with stochastic variables where the payoff depends on one underlying asset and the barrier depends on another state variable. The barrier state variable determines whether the option is knocked in or out when the value of the variable is above or below some prescribed barrier level. This paper derives the explicit analytic solution of the...

This work introduces the StoMADS-PB algorithm for constrained stochastic blackbox optimization, which is an extension of mesh adaptive direct-search (MADS) method originally developed deterministic optimization under general constraints. The values objective and constraint functions are provided by a noisy blackbox, i.e., they can only be computed with random noise whose distribution unknown. A...