Various approaches to index term-weighting have been investigated. In fact, term-weighting is an indispensable process for document ranking in most retrieval systems. As well actual information retrieval systems have to deal with explosive growth of documents of various sizes and terms of various frequencies because an appropriate term-weighting scheme has a crucial impact on the overall perfor...

Approaches for solving the timing-driven placement problem have traditionally been either net-based or path-based; see, e.g., [7] for an overview. Net weighting methods, which fall in the latter category, have been a popular tool in analytical placers [16, 8, 9] for handling timing-driven placement. They enjoy a number of advantages, including very low computational complexity, high flexibility...

In this note, the connection between the correction and weighting functions for the correction procedure via reconstruction (CPR) method in 1D is addressed. A one-parameter family of weighting functions is constructed from the discontinuous test space. It is found that if the solution polynomials lie in the space P k , then the first k weighting functions can always be chosen as the basis of th...

In this work we present new weighting functions for the anisotropic Kuwahara filter. The anisotropic Kuwahara filter is an edge-preserving filter that is especially useful for creating stylized abstractions from images or videos. It is based on a generalization of the Kuwahara filter that is adapted to the local shape of features. For the smoothing process, the anisotropic Kuwahara filter uses ...

Based on fuzzy set theory, this paper proposes a novel weighting method for spatial adaptive patch-based image denoising algorithm which can be considered as an extension of nonlocal means filtering. First, a fuzzy clustering algorithm for weighting data points is applied to reduce the estimate bias which arises from the unrelated points. The weighting function is determined by optimal fuzzy pa...

In this paper, we propose a new domain adaptation technique for neural machine translation called cost weighting, which is appropriate for adaptation scenarios in which a small in-domain data set and a large general-domain data set are available. Cost weighting incorporates a domain classifier into the neural machine translation training algorithm, using features derived from the encoder repres...

introduction of human development index (hdi) by undp in early 1990 followed a surge in use of non-parametric and parametric indices for measurement and comparison of countries performance in development, globalization, competition, well-being and etc. the hdi is a composite index of three indicators. its components are to reflect three major dimensions of human development: longevity, knowledg...

Using expert judgment data from the TU Delft's expert judgment data base, we compare the performance of different weighting schemes, namely equal weighting, performance based weighting from the classical model (Cooke, 1991), social network weighting and likelihood weighting. The picture that emerges with regard to social network weights is rather mixed. SN theory does not provide an alternative...

It is possible to use different methods to weight National Health and Nutrition Examination Survey (NHANES) data. Typically when weighting NHANES data we use a weighting class approach of predefined cells based on a limited number of variables. However, there are model based alternatives that allow for more flexibility in calculating the statistical weights. This flexibility is important becaus...

We propose to directly measure the importance of queries in the source domain to the target domain where no rank labels of documents are available, which is referred to as query weighting. Query weighting is a key step in ranking model adaptation. As the learning object of ranking algorithms is divided by query instances, we argue that it’s more reasonable to conduct importance weighting at que...