Abstract: In this article, we describe a general algorithmic framework for solving linear signal or feature fusion optimization problems in a distributed setting, for example in a wireless sensor ...

Abstract: In this paper, we address the problem of subspace averaging, with special emphasis placed on the question of estimating the dimension of the average. The results suggest that the enumeration ...

Decades ago, Paul Erdős used randomness to illuminate the vast and weird world of networks. Now mathematicians are making his ...

ChatGPT's breakthrough is not what it seems.

Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.

Effective mass (m*) is defined as: where x, y, z are the directions in the reciprocal Cartesian space (2π/A), En(k) is the dispersion relation for the n-th electronic band. The explicit form of the ...

To generate the static and the shared library type: ...

Objective: To describe the development and evaluation of the OutPatient Experiences Questionnaire (OPEQ) for somatic outpatients. Design: Literature review, patient interviews, pretesting of ...

Introduction to Linear Algebra, Fourth Edition includes challenge problems to complement the review problems that have been highly praised in previous editions. The basic course is followed by seven ...