Abstract. In this paper, we propose a probabilistic framework for predicting the root causes of errors in data processing pipelines made up of several components when we only have access to partial feedback; that is, we are aware when some error has occurred in one or more of the components, but we do not know which one. The proposed error model enables us to direct the user feedback to the cor...

Abstract—Adapting transmission parameters to the future channel state is an appealing approach to improve efficiency in wireless communication. Adaptation requires predicting the channel state. Current channel-adaptive techniques assume perfect prediction. In this paper, we claim that neglecting the prediction error leads to poor performance results, possibly even worse than without prediction ...

In this paper, a new approach is proposed in order to select an optimal membership function for inputs of wind speed prediction system. Then using a fuzzy method and the stochastic characteristics of wind speed in the previous year, the wind speed modeling is performed and the wind speed for the future year will be predicted. In this proposed method, the average and the standard deviation of in...

In view of pollution prediction modeling, the study adopts homogenous (random forest, bagging, and additive regression) and heterogeneous (voting) ensemble classifiers to predict the atmospheric concentration of Sulphur dioxide. For model validation, results were compared against widely known single base classifiers such as support vector machine, multilayer perceptron, linear regression and re...

This paper presents a new technique to index and retrieve texture image. The image is modeled with the two-dimensional one-sided linear prediction (OSP) model. The prediction coefficients, normalized mean-square prediction error and a set of seven invariant moments of the prediction error are used as features to index the image. The proposed method is highly successful in retrieving perceptuall...

The Rayleigh–Ritz method is widely used for eigenvalue approximation. Given a matrix X with columns that form an orthonormal basis for a subspace X , and a Hermitian matrix A, the eigenvalues of XHAX are called Ritz values of A with respect to X . If the subspace X is A-invariant, then the Ritz values are some of the eigenvalues of A. If the A-invariant subspace X is perturbed to give rise to a...

This work is an exploration of the impact of interferers on an ultrawideband (UWB) transmitterreceiver link. Both narrowband and wideband (specifically, UWB) interference is considered. Two physical layer models are built and simulated. The performance metric is the link’s bit error rate (BER). For both the narrowband and UWB interferer models, the dependence of the BER on the power of the inte...

The goal of this paper is to increase our understanding of harmonic Rayleigh– Ritz for real symmetric matrices. We do this by discussing different, though related topics: a priori error analysis, a posteriori error analysis, a comparison with refined Rayleigh–Ritz and the selection of a suitable harmonic Ritz vector.

In order to solve the boundary value problems of elliptic equations, especially with singularities and unbounded domains, the simplified hybrid-combined method, which is equivalent to the coupling method of Zienkiewicz et al. [15], is presented. This is a combination of the Ritz-Galerkin and the finite element methods. Its optimal error estimates are proved in this paper, and the solution strat...