Previous studies have indicated that dependencies between nonadjacent elements can be acquired by statistical learning when each element predicts only one other element (deterministic dependencies). The present study investigates statistical learning of probabilistic nonadjacent dependencies, in which each element predicts several other elements with a certain probability, as is more common in ...

| Network services for the most demanding advanced networked applications which require absolute, perow service assurances can be deterministic or statistical. By exploiting statistical properties of tra c, statistical assurances can extract more capacity from a network than deterministic assurances. In this work we consider statistical service assurances for tra c scheduling algorithms. We pre...

Cycle-harvesting software on commodity computers is available from a number of companies and a significant part of the Grid computing landscape. However, creating commercial service contracts based on resources made available by cycle-harvesting is a significant challenge for two reasons. Firstly, the characteristics of the harvested resources are inherently stochastic. Secondly, in a commercia...

The paper examines the benefits and the drawbacks of two competing approaches to natural language processing: statistical (probabilistic) and symbolic (deterministic). While the statistical approach is gaining popularity, better results may often be obtained using symbolic methodologies. The paper argues that the benefits of consistent deterministic parsers and lexica are well worth the time an...

Exponential distribution is ubiquitous in the framework of multi-agent systems. Usually, it appears as an equilibrium state in the asymptotic time evolution of statistical systems. It has been explained from very different perspectives. In statistical physics, it is obtained from the principle of maximum entropy [1]. In the same context, it can also be derived without any consideration about in...

A modular system to recognize handwritten numerical strings is proposed. It uses a segmentation-based recognition approach and a Recognition and Verification strategy. The approach combines the outputs from different levels such as segmentation, recognition, and postprocessing in a probabilistic model. A new verification scheme which contains two verifiers to deal with the problems of oversegme...

one of the main distinctions between geomaterials and other engineering materials is the spatial variation of their properties in different directions. this characteristic of geomaterials -so called heterogeneity- is studied herewith. several spatial distributions are introduced to describe probabilistic variation of geotechnical properties of soils. among all, the absolute normal distribution ...

this paper discusses the problem of allocation of constrained renewable resource to splittable activities of a single project. if the activities of stochastic projects can be split, these projects may be completed in shorter time when the available resource is constrained. it is assumed that the resource amount required to accom-plish each activity is a discrete quantity and deterministic. the ...