Results 31 to 40 of about 702,701 (291)
Penalized Orthogonal-Components Regression for Large p Small n Data
, 2004 We propose a penalized orthogonal-components regression (POCRE) for large p small n data. Orthogonal components are sequentially constructed to maximize, upon standardization, their correlation to the response residuals.
A. Vazquez +6 more
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Optimization on the Orthogonal Group for Independent Component Analysis [PDF]
, 2007 This paper derives a new algorithm that performs independent component analysis (ICA) by optimizing the contrast function of the RADICAL algorithm. The core idea of the proposed optimization method is to combine the global search of a good initial condition with a gradient-descent algorithm.
Michel Journée +2 more
openaire +1 more source
Application of Principal Component Analysis for Steel Material Components
Kurdistan Journal of Applied Research, 2022 In this research, we made use of the principal component analysis (PCA) technique, which is a multivariate statistical method that transforms a fixed number of correlated variables into a fixed number of orthogonal, uncorrelated axes known as principal ...
Miran Othman Tofiq +1 more
doaj +3 more sources
Methods of Forming Orthogonal Components of Input Signals for Relay Protection
Известия высших учебных заведений и энергетических объединенний СНГ: Энергетика, 2019 The existing frequency digital filters for allocation of the fundamental frequency of a sine signal are considered and their advantages and disadvantages are noted. Preference is given to the combined digital filter.
F. A. Romaniuk +2 more
doaj +1 more source
Adaptive Shapers of Orthogonal Signal Components for Microprocessor Protections
Известия высших учебных заведений и энергетических объединенний СНГ: Энергетика, 2004 The paper considers adaptive shapers of orthogonal components of microprocessor protections of electrical installations. An algorithm for calculation of shapers of orthogonal signal components has been developed.
F.` A. Romanjuk, A. V. Rozhdestvensky
doaj +1 more source
A New Algorithm for Computing Disjoint Orthogonal Components in the Three-Way Tucker Model
Mathematics, 2021 One of the main drawbacks of the traditional methods for computing components in the three-way Tucker model is the complex structure of the final loading matrices preventing an easy interpretation of the obtained results.
Carlos Martin-Barreiro +5 more
doaj +1 more source
Varimax rotation based on gradient projection needs between 10 and more than 500 random start loading matrices for optimal performance [PDF]
, 2018 Gradient projection rotation (GPR) is a promising method to rotate factor or component loadings by different criteria. Since the conditions for optimal performance of GPR-Varimax are widely unknown, this simulation study investigates GPR towards the ...
Beauducel, André +1 more
core +2 more sources
On the orthogonal component of BSDEs in a Markovian setting [PDF]
Statistics & Probability Letters, 2012 In this Note we consider a quadratic backward stochastic differential equation (BSDE) driven by a continuous martingale $M$ and whose generator is a deterministic function. We prove (in Theorem \ref{theorem:main}) that if $M$ is a strong homogeneous Markov process and if the BSDE has the form \eqref{BSDE} then the unique solution $(Y,Z,N)$ of the BSDE ...
openaire +2 more sources
Structural Dynamics, 2019 Analysis of time-resolved data typically involves discriminating noise against the signal and extracting time-independent components and their time-dependent contributions.
H. Ki +4 more
doaj +1 more source
Известия высших учебных заведений и энергетических объединенний СНГ: Энергетика, 2012 The article describes principles of fulfillment of flexible formers of orthogonal input value components and possibilities of their utilization in micro-processing рrotection of рower рlants.
F. A. Romaniuk +2 more
doaj +1 more source