 We propose two mathematical models with weighted utility functions for the fair bandwidth allocation and QoS routing in communication networks which offer multiple services for several classes of users. The formulation and numerical experiments are carried out in a general utility-maximizing framework. In this work, instead of being fixed, the weight for each utility function is taken as a fr...

Language models (LMs) are often constructed by building multiple component LMs that are combined using interpolation weights. By tuning these interpolation weights, using either perplexity or discriminative approaches, it is possible to adapt LMs to a particular task. In this work, improved LM adaptation is achieved by introducing context dependent interpolation weights. An important part of th...

delphi as a consensus development technique enables anonymous, systematic refinement of expert opinion with the aim of arriving at a combined or consensual position. in this study, we determined the criteria and their weights for iranian medical schools' ranking through a delphi process. an expert committee devised 13 proposed criteria with 32 indicators with their weights, which were arranged ...

In models of data envelopment analysis (DEA), an optimal set of weights is generally assumed to represent the assessed decision making unit (DMU) in the best light in comparison to all the other DMUs, and so there is an optimal set of weights corresponding to each DMU. The present paper, proposes a three stage method to determine one common set of weights for decision making units. Then, we use...

Balance in the covariate distributions is crucial for an unconfounded descriptive or causal comparison between different groups. However, lack of overlap in the covariates is common in observational studies. This article focuses on weighting strategies for balancing covariates. We propose a general class of weights---the balancing weights---that balance the expectation of the covariates in the ...

Abstract Firstly, we give a formula on the generalized Hamming weight of linear codes constructed generically by defining sets. Secondly, by choosing properly the defining set we obtain a class of cyclotomic linear codes and then present two alternative formulas to calculate their generalized Hamming weights. Lastly, we determine their weight distribution and generalized Hamming weights partial...

introduction: the selection of suitable beam angles and weights in external-beam radiotherapy is at present generally based upon the experience of the planner. therefore, automated selection of beam angles and weights in forward-planned radiotherapy will be beneficial. material and methods: in this work, an efficient method is presented within the matlab environment to investigate how to improv...

background and purpose:the tasks of faculty members and their weights particularly in integrated system of iran are not well defined. methods:to address this issue, in a comprehensive project, we explored all rules, regulations and officialdocuments in national level, collected the opinion of experts around the country using in-depthinterview and defined the weights of main tasks in a group dis...

)))))))))))))))))))))))))))))))))))))))))))))))))))))))))) The 2002 Census of Agriculture adjusted for whole-farm nonresponse by dividing the potential farms on its list into size classes and then weighting the respondents within each class to account for the nonrespondents. Unfortunately, to assign the size-class memberships, a consistent measure of size was needed for all potential farms not ...

in this paper, by investigating the common weights concept and dea models with nonlinear virtual inputs/outputs, we introduce a model for evaluating the decision making units with nonlinear virtual inputs and outputs based on the common weights.