Results 41 to 50 of about 23,727,129 (258)

Sequential and Adaptive Learning Algorithms for M-Estimation

EURASIP Journal on Advances in Signal Processing, 2008
The M-estimate of a linear observation model has many important engineering applications such as identifying a linear system under non-Gaussian noise.
Guang Deng
doaj   +1 more source

A Novel Method to Implement the Matrix Pencil Super Resolution Algorithm for Indoor Positioning [PDF]

Mehran University Research Journal of Engineering and Technology, 2011
This article highlights the estimation of the results for the algorithms implemented in order to estimate the delays and distances for the indoor positioning system.
Tariq Jamil Saifullah Khanzada, Sheeraz Memon, Ashfaque Ahmed Hashmani   +2 more
doaj  

Novel Algorithms Based on Majorization Minimization for Nonnegative Matrix Factorization

IEEE Access, 2019
Matrix decomposition is ubiquitous and has applications in various fields like speech processing, data mining and image processing to name a few. Under matrix decomposition, nonnegative matrix factorization is used to decompose a nonnegative matrix into ...
R. Jyothi, Prabhu Babu, Rajendar Bahl
doaj   +1 more source

Approximating a similarity matrix by a latent class model: A reappraisal of additive fuzzy clustering [PDF]

, 2009
Let Q be a given n×n square symmetric matrix of nonnegative elements between 0 and 1, similarities. Fuzzy clustering results in fuzzy assignment of individuals to K clusters.
Braak, C.J.F., ter, Kourmpetis, Y.I.A., Kiers, H.A.L., Bink, M.C.A.M.   +3 more
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On the application of the Lanczos algorithm for the matrix eigenproblem to other than nuclear shell model calculations

Physics Letters B, 1973
Abstract An application of the Lanczos algorithm for the tridiagonalization of a finite matrix to shell model calculations has been recently suggested. Here we study the possibility to extend this method to cases where states lying in the continuum are included.
openaire   +1 more source

Optimal Distribution Network Reconfiguration through Integration of Cycle-Break and Genetic Algorithms

Energies, 2018
This paper presents novel cycle-break (spanning tree generation) algorithms which can be used to find the optimal distribution network topology. These algorithms (adjacency matrix/top-down/bottom-up cycle break) represent a novel way of obtaining radial ...
Rade Čađenović, Damir Jakus, Petar Sarajčev, Josip Vasilj   +3 more
doaj   +1 more source

JAMPI: Efficient Matrix Multiplication in Spark Using Barrier Execution Mode

Big Data and Cognitive Computing, 2020
The new barrier mode in Apache Spark allows for embedding distributed deep learning training as a Spark stage to simplify the distributed training workflow.
Tamas Foldi, Chris von Csefalvay, Nicolas A. Perez   +2 more
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Utilization of five data mining algorithms combined with simplified preprocessing to establish reference intervals of thyroid-related hormones for non-elderly adults

BMC Medical Research Methodology, 2023
Background Despite the extensive research on data mining algorithms, there is still a lack of a standard protocol to evaluate the performance of the existing algorithms.
Jian Zhong, Chaochao Ma, Li’an Hou, Yicong Yin, Fang Zhao, Yingying Hu, Ailing Song, Danchen Wang, Lei Li, Xinqi Cheng, Ling Qiu   +10 more
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Convergence analysis of structure-preserving doubling algorithms for Riccati-type matrix equations

, 2010
[[abstract]]In this paper, we introduce the doubling transformation, a structure-preserving transformation for symplectic pencils, and present its basic properties.
Lin, WW;Xu, SF
core   +1 more source

Confusion matrix of optimization algorithms.

, 2022
Confusion matrix of optimization algorithms.
Amirhossein Tahmouresi (10751702), Masoud Rezaei (672328), Mohammad Mehdi Yaghoobi (3857914), Esmat Rashedi (10751696)   +3 more
core   +1 more source