the general relatively isotropic mean landsberg metrics contain the general relativelyisotropic landsberg metrics. a class of finsler metrics is given, in which the mentioned two conceptsare equivalent. in this paper, an interpretation of general relatively isotropic mean landsberg metrics isfound by using c-conformal transformations. some necessary conditions for a general relativelyisotropic ...

this paper surveys parallel scheduling problems and metrics correlated to and then applys metrics to make decision in comparison to other policy schedulers. parallel processing is new trend in computer science especially in embedded and multicore systems whereas needs more power consumption to reach speed up. the qos requirement for users is to have good responsiveness and for service providers...

landscape metrics quantifies structural features of the landscape. one of the advantages of these metrics is a possibility to use them in fast cumulative assessment of the development activities in the environment. in this paper, the cumulative effects of road network expansion on the tree cover of gorgan, kordkuy, aliabad townships in golestan province were investigated. to prepare the require...

Reuse economics has been the subject of vigorous study over the past several years. Although significant progress has been made in the areas of reuse metrics and cost estimation, much work to date in reuse investment analysis has not always reflected accepted mainstream financial analysis practices. This paper compares several approaches that have been described in the reuse literature, points ...

using the electrostatic capacity of a condenser, the existence of a distance function on a finsler space is discussed. this distance function divides finsler spaces into the two classes, denoted here by i and ii. the topology generated by this distance on the finsler spaces of class ii coincides with its intrinsic topology. this work provides a natural extension of mathematical analysis tools n...

We examine correlations between native speaker judgements on automatically generated German text against automatic evaluation metrics. We look at a number of metrics from the MT and Summarisation communities and find that for a relative ranking task, most automatic metrics perform equally well and have fairly strong correlations to the human judgements. In contrast, on a naturalness judgement t...

Many automatic evaluation metrics for machine translation (MT) rely on making comparisons to human translations, a resource that may not always be available. We present a method for developing sentence-level MT evaluation metrics that do not directly rely on human reference translations. Our metrics are developed using regression learning and are based on a set of weaker indicators of fluency a...

Comparisons of automatic evaluation metrics for machine translation are usually conducted on corpus level using correlation statistics such as Pearson’s product moment correlation coefficient or Spearman’s rank order correlation coefficient between human scores and automatic scores. However, such comparisons rely on human judgments of translation qualities such as adequacy and fluency. Unfortun...