During the last years a great number of Query Performance Prediction methods have been proposed. However, this explosion of prediction method proposals have not been paralleled by an in-depth study of suitable methods to evaluate these estimations. In this paper we analyse the current approaches to evaluate Query Performance Prediction methods, highlighting some limitations they present. We als...

We present an overview of current research in performance modeling, focusing on efforts underway in the Performance Evaluation Research Center (PERC). Using some new techniques, we are able to construct performance models that can be used to project the sustained performance of large-scale scientific programs on different systems, over a range of job and system sizes. Such models can be used by...

many countries are turning their attention to the use of explicit financial incentives to drive desired improvements in healthcare performance. however, we have only a weak evidence-base to inform policy in this area. the research challenge is to generate robust evidence on what financial incentives work, under what circumstances, for whom and with what intended and unintended consequences.

today, capacity, development, and real independence of countries largely are linked with the ability to produce and publication of science. purpose of this research is evaluation of the relative performance of research and development performance of iran in compared with the region's countries by combined approach of dea/topsis. to this end, research and development activities of fourteen ...

In this research, we aim at the establishment of a method of controlling dialogues in accordance with the changes of performance in computation. So that the system takes the most suitable dialogue strategy according to performance in computation, it needs to calculate evaluation functions modeled with performance in computation in the inside all time. In this paper, we clarify dialogue efficien...

Data Envelopment Analysis (DEA) is a method for measuring the efficiency of peer decision making units (DMUs) with multiple inputs and outputs. The traditional DEA treats decision making units under evaluation as black boxes and calculates their efficiencies with first inputs and last outputs. This carries the notion of missing some intermediate measures in the process of changing the inputs to...

Monitoring network performance and status is a fundamental task for network operators as it directly impacts the quality of the offered services and hence user satisfaction. For this purpose a consolidated approach, which is largely adopted by network operators, is based on the so-called KPIs (key performance indicators). In this paper, we propose and discuss a set of KPIs to monitor network pe...

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