In this paper, we study the non-stationary parallel multisplitting two-stage iterative methods with selfadaptive weighting matrices for solving a linear system whose coefficient matrix is symmetric positive definite. Two choices of Self-adaptive weighting matrices are given, especially, the nonnegativity is eliminated. Moreover, we prove the convergence of the non-stationary parallel multisplit...

The effect of term weighting on selecting intrinsic dimensionality of data is discussed. Experiments are conducted, using different term weighting and dimensionality selection methods, on four testing document collections (namely Medline, Cranfield, CACM and CISI). The results point that transforming the data matrix using a term weighting scheme plays a vital role in identifying the intrinsic d...

Weighting is the term most frequently used to describe magnetic resonance pulse sequences and the concept most commonly used to relate image contrast to differences in magnetic resonance tissue properties. It is generally used in a qualitative sense with the single tissue property thought to be most responsible for the contrast used to describe the weighting of the image as a whole. This articl...

The objective of this study is to propose a theory on the biodynamic frequency weighting for studying hand-transmitted vibration exposures and vibration-induced effects. We hypothesize that the development of a vibration effect is the result of two consecutive but synergistic processes: biodynamic responses to input vibration and biological responses to the biomechanical stimuli resulting from ...

We propose and analyze new fast feature weighting algorithms based on different types of feature ranking. Feature weighting may be much faster than feature selection because there is no need to find cut-threshold in the raking. Presented weighting schemes may be combined with several distance based classifiers like SVM, kNN or RBF network (and not only). Results shows that such method can be su...

In this paper, we study several microphone channel selection and weighting methods for robust automatic speech recognition (ASR) in noisy conditions. For channel selection, we investigate two methods based on the maximum likelihood (ML) criterion and minimum autoencoder reconstruction criterion, respectively. For channel weighting, we produce enhanced log Mel filterbank coefficients as a weight...

The frequency weighting for assessing hand-transmitted vibration exposure is critical to obtaining a true dose-response relationship. Any valid weighting must have a solid theoretical foundation. The objectives of this study are to examine the biodynamic foundation for assessing the vibration exposure and to develop a set of biodynamic methods to formulate the frequency weightings for different...

Currently, in web page classification, Absolute Weighting Method is a common method to weight HTML main structure features. The disadvantage of the method is that weighting coefficient is a fixed value, which has different effects on the long and short text. So the influence of structure features on local text will be weakened with the length of local text increasing. To solve the problem, we p...

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...