نتایج جستجو برای: empirical matrix

تعداد نتایج: 563469  

2015
Kenneth K. Boyer Mark Pagell

Our objective in this paper is to examine measures used in survey-based research in operations management. Specifically, we examine measures commonly used to assess operations strategy and advanced manufacturing technology in survey-based research. Examining two measures provides the ability to examine problems common to many of the measures used in operations management research. In addition, ...

1999
Samuli Visuri Hannu Oja Visa Koivunen

This paper addresses the problem of estimating the covariance matrix reliably when the assumptions, such as Gaussianity, on the probabilistic nature of multichannel data do not necessarily hold. Multivariate spatial sign and rank functions, which are generalizations of univariate sign and centered rank, are introduced. Furthermore, spatial rank covariance matrix and spatial Kendall’s tau covari...

2015
Michael Mahoney

This course will cover recent developments in randomized matrix algorithms of interest in large-scale machine learning and statistical data analysis applications. By this, we will mean basic algorithms for fundamental matrix problems—such as matrix multiplication, least-squares regression, lowrank matrix approximation, and so on—that use randomization in some nontrivial way. This area goes by t...

Journal: :Genetics 2008
Guillaume Martin Elodie Chapuis Jérôme Goudet

Neutrality tests in quantitative genetics provide a statistical framework for the detection of selection on polygenic traits in wild populations. However, the existing method based on comparisons of divergence at neutral markers and quantitative traits (Q(st)-F(st)) suffers from several limitations that hinder a clear interpretation of the results with typical empirical designs. In this article...

2009
Jun Liu Jianhui Chen Songcan Chen Jieping Ye

Kernel methods have been applied successfully in many applications. The kernel matrix plays an important role in kernel-based learning methods, but the “ideal” kernel matrix is usually unknown in practice and needs to be estimated. In this paper, we propose to directly learn the “ideal” kernel matrix (called the optimal neighborhood kernel matrix) from a pre-specified kernel matrix for improved...

Journal: :sahand communications in mathematical analysis 2016
davoud foroutannia hadi roopaei

the purpose of the present study is to introduce the sequence space[{l_p}(e,delta) = left{ x = (x_n)_{n = 1}^infty : sum_{n = 1}^infty left| sum_{j in {e_n}} x_j - sum_{j in e_{n + 1}} x_jright| ^p < infty right},]where $e=(e_n)$ is a partition of finite subsets of the positive integers and $pge 1$. the topological properties and inclusion relations of this space are studied. moreover, the prob...

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