Results 31 to 40 of about 36,403 (314)
Automatic hierarchical model builder
Journal of Chemometrics, Volume 36, Issue 12, December 2022., 2022 Abstract When building classification models of complex systems with many classes, the traditional chemometric approaches such as discriminant analysis or soft independent modeling of class analogy often fail. Some people resort to advanced deep neural network, but this is only an option if there is access to very many samples.
Lorenzo Marchi +7 more
wiley +1 more source
SEPARATION OF DIFFRACTION SPECTRA BY PRINCIPAL COMPONENT METHOD BY THE EXAMPLE OF ARIFON DRUG
Российский технологический журнал, 2019 The article deals with the results of experimental studies on statistical processing of diffraction spectra of solid drugs for the purpose of their separation and identification. Diffractograms of the original and falsified drugs Arifon were used for the
R. V. Chekhova +3 more
doaj +1 more source
Universal adjacency spectrum of zero divisor graph on the ring and its complement
AKCE International Journal of Graphs and Combinatorics, 2021 For a commutative ring R with unity, the zero divisor graph is an undirected graph with all non-zero zero divisors of R as vertices and two distinct vertices u and v are adjacent if and only if uv = 0. For a simple graph G with the adjacency matrix A and
Saraswati Bajaj, Pratima Panigrahi
doaj +1 more source
Journal of Statistical Mechanics: Theory and ExperimentAbstract Among the performance-enhancing procedures for Hopfield-type networks that implement associative memory, Hebbian unlearning (HU) (or dreaming) strikes for its simplicity and lucid biological interpretation. However, it does not easily lend to a clear analytical understanding.
Benedetti, Marco +3 more
openaire +3 more sources
Considerations and caveats for analyzing chromatin compartments
Frontiers in Molecular Biosciences, 2023 Genomes are organized into nuclear compartments, separating active from inactive chromatin. Chromatin compartments are readily visible in a large number of species by experiments that map chromatin conformation genome-wide.
Achyuth Kalluchi +3 more
doaj +1 more source
Eigenvectors of Tensors—A Primer [PDF]
Acta Applicandae Mathematicae, 2018 We give an introduction to the theory and to some applications of eigenvectors of tensors (in other words, invariant one-dimensional subspaces of homogeneous polynomial maps), including a review of some concepts that are useful for their discussion. The intent is to give practitioners an overview of fundamental notions, results and techniques.
openaire +3 more sources
An Efficient FPGA Implementation of MUSIC Processor Using Cyclic Jacobi Method: LiDAR Applications
Applied Sciences, 2022 LiDAR is a technology that uses lasers to measure the position of elements. Measuring the laser travel time and calculating the distance between the LiDAR and the surface requires the calculation of eigenvalues and eigenvectors of the convergence matrix.
Ridha Ghayoula +4 more
doaj +1 more source
Eigenvectors of the De-Rham Operator
Mathematics, 2023 We aim to examine the influence of the existence of a nonzero eigenvector ζ of the de-Rham operator Γ on a k-dimensional Riemannian manifold (Nk,g). If the vector ζ annihilates the de-Rham operator, such a vector field is called a de-Rham harmonic vector
Nasser Bin Turki +2 more
doaj +1 more source
Tree decomposition by eigenvectors
Linear Algebra and its Applications, 2009 25 ...
Torsten Sander, J. W. Sander
openaire +3 more sources
High dimensional normality of noisy eigenvectors [PDF]
arXiv, 2020 We study joint eigenvector distributions for large symmetric matrices in the presence of weak noise. Our main result asserts that every submatrix in the orthogonal matrix of eigenvectors converges to a multidimensional Gaussian distribution. The proof involves analyzing the stochastic eigenstate equation (SEE) which describes the Lie group valued flow ...
arxiv