We investigate the learnability, under the uniform distribution, of deterministic and probabilistic neural concepts that can be represented as simple combinations of nonoverlapping perceptrons with binary weights. Two perceptrons are said to be nonoverlapping if they do not share any input variables. In the deterministic case, we investigate, within the distribution-specific PAC model, the lear...

The numerical investigations of size effects in granular bodies during a quasi-static plane strain compression test are performed. To describe a mechanical behaviour of a cohesionless granular material during a monotonous deformation path in a plane strain compression test, a micro-polar hypoplastic constitutive model was used. It includes particle rotations, curvatures, non-symmetric stresses,...

The increasing availability and pervasiveness of multimedia data in our society is before our very eyes. As a result of globalization and worldwide connectivity, people from all over the planet are exchanging constantly increasing amounts of images, videos, audio recordings on a daily basis. Coupled with the easy access to user-friendly editing software, this poses a number of problems related ...

this paper contains the main results concerning the evaluation of the consumption distribution of iran in terms of levels, shape, inequality and social welfare for the years 1989 and 1994. the results show that the shape of consumption distribution in iran is showed to the right and there is a large gap between the average level of consumption in rural and urban areas. inequality in iran is rel...

In scientific simulations the results generated usually come from a stochastic process. New solutions with the aim of improving these simulations have been proposed, but the problem is how to compare these solutions since the results are not deterministic. Consequently how to guarantee that the output results are statistically trusted. In this work we apply a statistical approach in order to de...

The performance of distributing entanglement between two distant nodes in a large-scale quantum network (QN) partially entangled bipartite pure states is generally benchmarked against the classical percolation (CEP) scheme. Improvements beyond CEP were only achieved by nonscalable strategies for restricted QN topologies. This paper explores and amplifies new more effective mapping QN, referred ...

Our long-term goal is to improve the accuracy of atmospheric and oceanic deterministic and statistical forecast. Specifically, we seek to maximize deterministic forecast accuracy while minimizing observational and computational cost. We also seek to maximize the accuracy and utility of statistical forecasts, which can provide forecast information beyond the time interval over which deterministi...

Submit Manuscript | http://medcraveonline.com on PTEs and Stein-type estimators for various linear models. In statistical inference, the use of prior information on other parameters in a statistical model, usually leads to improved inference on the parameter of interest. Prior information may he (i) known and deterministic which is then incorporated into the model in the form of constraints on ...

Process variation has more significant impact on circuit performance as technology develops to nano scale. It is therefore necessary to evaluate chip performance using statistical timing analysis rather than deterministic static timing analysis. This paper first evaluates the impact of single extrinsic fluctuation on circuit performance based on the rigorously derived propagation delay model. T...