Background: Today, with the advancement of technology in various fields, the importance of recording data in the field of health is increasing so much that for many diseases around the world, including kidney disease, registration systems have been set up. This is happening in our country and in the future, the number of these systems will increase. The medical data set contains valuable inform...

In this paper, we formulate a least squares version of the one-class support vector fuzzy machine (LS one-class SVFM) which is combined with the fuzzy set theory. The parameters in the proposed algorithm, such as weight vector and bias term, are fuzzy numbers. Our model only needs to solve a system of linear equations, instead of a complex quadratic programming problem (QPP) solved in one-class...

In this paper a support vector machine (SVM) approach for characterizing the feasible parameter set (FPS) in non-linear set-membership estimation problems is presented. It iteratively solves a regression problem from which an approximation of the boundary of the FPS can be determined. To guarantee convergence to the boundary the procedure includes a no-derivative line search and for an appropri...

Being algebraic completion of the conventional interval arithmetic, the arithmetic on extended (proper and improper) intervals possesses group and other algebraic properties suitable for implementation in computer algebra systems. We give an overview of a Mathematica package directed.m supporting the completed set of intervals and discuss the bene ts, provided by this package, for doing numeric...

This paper reflects the renascence of sensitivity and parametric analysis in linear programming and extends single-parametric results to the case when there are multiple parameters in the objective function and in the right-hand side of equations. Multiparametric approach enables us to study more complex perturbation occurring in linear programs than the simpler sensitivity analysis does. Inter...

How to make compilers more useful for developing DSP applications and reduce reliance on assembly coding has long been a topic of interest in the DSP community. This paper presents Siemens solutions for supporting its TriCore DSP/microcontroller architecture, including SIMD instructions, at the C/C++ level. Two solutions based on either extending C/C++ language with the new built-in DSP data ty...

In this study, we address the regression problem on set-valued samples that appear in applications. To solve this problem, we propose a support vector regression approach for set-valued samples that generalizes the classical e-support vector regression. First, an initial representative point (or an element) for every set-valued sample is selected, and a weighted distance between the initial rep...

Sensitivity analysis is one of the most interesting and preoccupying areas in optimization. Many attempts are made to investigate the problem’s behavior when the input data changes. Usually variation occurs in the right hand side of the constraints and/or the objective function coefficients. Degeneracy of optimal solutions causes considerable difficulties in sensitivity analysis. In this paper ...

E-learning is a planned form of teaching and learning experience that uses a wide spectrum of technologies including, Internet and WWW to deliver education at a distance. In this context, LMS is software for handling various management related activities in respect of learning and its delivery in online mode. To facilitate quality education, the identification & selection of various factors tha...