In this paper, we use variational recurrent model to investigate the time series forecasting problem. Combining recurrent neural network (RNN) and variational inference (VI), this model has both deterministic hidden states and stochastic latent variables while previous RNN methods only consider deterministic states. Based on comprehensive experiments, we show that the proposed methods significa...

Abstract I argue that Bohmian mechanics (or any similar pilot-wave theory) cannot reasonably be claimed to a deterministic theory. If one assumes the “quantum equilibrium distribution” provided by wave function of universe, requires an external random oracle in order describe (Kolmogorov–Levin–Chaitin) algorithmic randomness properties typical outcome sequences long runs repeated identical expe...

objective: the current research is to investigate the relation between deterministic thinking and mental health among drug abusers, in which the role of  cognitive distortions is considered and clarified by focusing on deterministic thinking. methods: the present study is descriptive and correlative. all individuals with experience of drug abuse who had been referred to the shafagh rehabilitati...

The main goal of this study is to investigate the capability of zeolites A and P synthesized from Iranian natural clinoptilolite for uranium uptak. The removal of uranium(VI) from aqueous solution via ion exchange by zeolites in a single component system with various contact times,  temperatures and initial concentrations of uranium(VI) was investigated. The experimental results we...

It is known that cooperating distributed systems (CD-systems) of stateless deterministic restarting automata with window size 1 accept a class of semi-linear languages that properly includes all rational trace languages. Although the component automata of such a CD-system are all deterministic, the CD-system itself is not, as in each of its computations, the initial component and the successor ...