Search Results - "Majorization–minimization algorithm"

A dimension reduction assisted credit scoring method for big data with categorical features

Authors: Tatjana Miljkovic Pei Wang

Source: Financial Innovation, Vol 11, Iss 1, Pp 1-30 (2025)

Subject Terms: Credit scoring, Dimension reduction, Logistic regression, Majorization-minimization algorithm, Public finance, K4430-4675, Finance, HG1-9999

File Description: electronic resource

Relation: https://doaj.org/toc/2199-4730

Access URL: https://doaj.org/article/fc4201999142450893b2b02b58f9853c

Parsimony and parameter estimation for mixtures of multivariate leptokurtic-normal distributions

Authors: Ryan P. Browne Luca Bagnato Antonio Punzo

Source: Adv Data Anal Classif

Subject Terms: Leptokurtic-normal distribution, 0202 electrical engineering, electronic engineering, information engineering, Regular Article, 02 engineering and technology, Majorization–minimization algorithm, 0101 mathematics, Mixture models, Parsimony, 01 natural sciences

File Description: application/pdf

Access URL: https://pubmed.ncbi.nlm.nih.gov/39309701
https://hdl.handle.net/10807/252936
https://doi.org/10.1007/s11634-023-00558-2

Rates of Convergence of Maximum Smoothed Log-Likelihood Estimators for Semi-Parametric Multivariate Mixtures

Authors: Du Roy de Chaumaray, Marie Levine, Michael Marbac, Matthieu et al.

Contributors: Du Roy de Chaumaray, Marie Levine, Michael Marbac, Matthieu et al.

Source: https://hal.science/hal-05350687 ; 2025.

Subject Terms: Empirical process, Finite mixture model, Majorization-minimization algorithm, Rate of convergence, Semi-parametric mixture, [STAT]Statistics [stat]

Availability: https://hal.science/hal-05350687
https://hal.science/hal-05350687v1/document
https://hal.science/hal-05350687v1/file/arXiv.pdf

Acoustic object canceller: removing a known signal from monaural recording using blind synchronization

Authors: Takao Kawamura Kouei Yamaoka Yukoh Wakabayashi et al.

Source: EURASIP Journal on Audio, Speech, and Music Processing, Vol 2023, Iss 1, Pp 1-16 (2023)

Subject Terms: Noise suppression, Acoustic object, Blind synchronization, Sampling frequency mismatch, Maximum likelihood estimation, Majorization–minimization algorithm, Acoustics. Sound, QC221-246, Electronic computers. Computer science, QA75.5-76.95

File Description: electronic resource

Relation: https://doaj.org/toc/1687-4722

Access URL: https://doaj.org/article/db9e3ca255754229aecfbdc76096aa51

Signal subspace change detection in structured covariance matrices

Authors: Abdallah, R. Ben Breloy, A. Taylor, A. et al.

Contributors: Abdallah, R. Ben Breloy, A. Taylor, A. et al.

Source: 2019 27th European Signal Processing Conference (EUSIPCO). :1-5

Subject Terms: Generalized likelihood ratio test, subspace testing, [SPI.ELEC] Engineering Sciences [physics]/Electromagnetism, majorization-minimization algorithm, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, low rank structure

File Description: application/pdf

Access URL: https://hal.parisnanterre.fr//hal-02333861/file/1570533085%20%285%29.pdf
https://dblp.uni-trier.de/db/conf/eusipco/eusipco2019.html#AbdallahBTKL19
https://hal.parisnanterre.fr/hal-02333861v1

Distributed Learning of Mixtures of Experts

Authors: Chamroukhi, Faïcel Pham, Nhat Thien IRT SystemX et al.

Contributors: Chamroukhi, Faïcel Pham, Nhat Thien IRT SystemX et al.

Source: https://hal.science/hal-04349770 ; 2023.

Subject Terms: Distributed Learning, Mixtures of Experts, Estimator Aggregation, Optimal Transport, Majorization-Minimization Algorithm, Distributed Learning Mixtures of Experts Estimator Aggregation Optimal Transport Majorization-Minimization Algorithm, [MATH.MATH-ST]Mathematics [math]/Statistics [math.ST], [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG], [STAT.OT]Statistics [stat]/Other Statistics [stat.ML]

Relation: info:eu-repo/semantics/altIdentifier/arxiv/2312.09877; ARXIV: 2312.09877

Availability: https://hal.science/hal-04349770
https://hal.science/hal-04349770v1/document
https://hal.science/hal-04349770v1/file/2312.09877.pdf

Wideband Waveform Design for Distributed Precision Jamming

Authors: Kedi Zhang Qingsong Zhou Jing Wang et al.

Source: Entropy, Vol 25, Iss 3, p 496 (2023)

Subject Terms: distributed precision jamming, multiple-input and multiple-output system, wideband jamming waveform design, majorization minimization algorithm, Science, Astrophysics, QB460-466, Physics, QC1-999

Relation: https://www.mdpi.com/1099-4300/25/3/496; https://doaj.org/toc/1099-4300; https://doaj.org/article/9cbbcd35725748479fca0a8bf95cb230

Availability: https://doi.org/10.3390/e25030496
https://doaj.org/article/9cbbcd35725748479fca0a8bf95cb230

Accelerated image reconstruction in fluorescence molecular tomography using a nonuniform updating scheme with momentum and ordered subsets methods

Authors: Zhu, Dianwen Li, Changqing

Source: Journal of Biomedical Optics. 21(1)

Subject Terms: Biomedical and Clinical Sciences, Engineering, Biomedical Engineering, Physical Sciences, Ophthalmology and Optometry, Atomic, Molecular and Optical Physics, Algorithms, Animals, Computer Simulation, Image Processing, Computer-Assisted, Mice, Molecular Imaging, Phantoms, Imaging, Tomography, Optical, fluorescence molecular tomography, iterative image reconstruction, ordered subsets, momentum, nonuniform update, majorization-minimization algorithm, Optical Physics, Opthalmology and Optometry, Optics, Ophthalmology and optometry, Biomedical engineering, Atomic, molecular and optical physics

File Description: application/pdf

Access URL: https://escholarship.org/uc/item/7pc2r1xk
https://escholarship.org/content/qt7pc2r1xk/qt7pc2r1xk.pdf

Sparse Bayesian Approach for DOD and DOA Estimation With Bistatic MIMO Radar

Authors: Zheng Cao Lei Zhou Jisheng Dai

Source: IEEE Access, Vol 7, Pp 155335-155346 (2019)

Subject Terms: bistatic MIMO radar, coarse non-uniformly sampled 2D grid, DOD and DOA estimation, majorization-minimization algorithm, 0202 electrical engineering, electronic engineering, information engineering, sparse Bayesian learning, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, TK1-9971

Access URL: https://ieeexplore.ieee.org/ielx7/6287639/8600701/08880558.pdf
https://doaj.org/article/226479e3028b4fe28b4f280419d212c3

Stream-suitable optimization algorithms for some soft-margin support vector machine variants

Authors: Hien D. Nguyen Andrew T. Jones Geoffrey J. McLachlan

Source: Japanese Journal of Statistics and Data Science. 1:81-108

Subject Terms: Streamed data, Support vector machines, BigData, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 0101 mathematics, Stochastic majorization–minimization algorithm, 01 natural sciences

Access URL: https://core.ac.uk/display/157825593
https://espace.library.uq.edu.au/view/UQ:729087
https://link.springer.com/article/10.1007%2Fs42081-018-0001-y

Maximum smoothed likelihood component density estimation in mixture models with known mixing proportions

Authors: Yu, T. Li, P. Qin, J. et al.

Contributors: Yu, T. Li, P. Qin, J. et al.

Source: Electron. J. Statist. 13, no. 2 (2019), 4035-4078

Subject Terms: FOS: Computer and information sciences, majorization-minimization algorithm, Mathematics - Statistics Theory, Empirical process, Statistics Theory (math.ST), M-esti-mators, M-estimators, empirical process, 01 natural sciences, mixture data, Majorization-minimization algorithm, 3. Good health, Methodology (stat.ME), EM-like algorithm, 62G07, FOS: Mathematics, Mixture data, 0101 mathematics, 62G20, Statistics - Methodology, Smoothed likelihood function, smoothed likelihood function

File Description: application/pdf

Access URL: http://arxiv.org/abs/1407.3152
https://projecteuclid.org/download/pdfview_1/euclid.ejs/1570586482
https://projecteuclid.org/journals/electronic-journal-of-statistics/volume-13/issue-2/Maximum-smoothed-likelihood-component-density-estimation-in-mixture-models-with/10.1214/19-EJS1620.full
https://ui.adsabs.harvard.edu/abs/2014arXiv1407.3152Y/abstract
https://projecteuclid.org/euclid.ejs/1570586482

Iteratively-Reweighted Least-Squares Fitting of Support Vector Machines: A Majorization–Minimization Algorithm Approach

Authors: Hien Duy Nguyen Geoffrey McLachlan

Subject Terms: Iteratively-reweighted least-squares, support vector machines, majorization–minimization algorithm

Relation: http://dx.doi.org/10.14569/SpecialIssue.2018.090160

Availability: https://doi.org/10.14569/SpecialIssue.2018.090160

Fractional-order TV-L2 model for image denoising

Authors: Dali Chen Congrong Zhang Shenshen Sun et al.

Source: Open Physics, Vol 11, Iss 10, Pp 1414-1422 (2013)

Subject Terms: total variation, image denoising, Physics, QC1-999, majorization-minimization algorithm, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, fractional calculus

Access URL: https://doaj.org/article/fef83c10d7e84cf090358f7e7d28e798
http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.-psjd-doi-10_2478_s11534-013-0241-1
https://link.springer.com/article/10.2478/s11534-013-0241-1
https://www.degruyter.com/document/doi/10.2478/s11534-013-0241-1/html
http://rd.springer.com/article/10.2478%2Fs11534-013-0241-1
https://www.degruyter.com/view/j/phys.2013.11.issue-10/s11534-013-0241-1/s11534-013-0241-1.xml
https://ui.adsabs.harvard.edu/abs/2013CEJPh..11.1414C/abstract

A Nonparametric Bayesian Model for System Identification Based on a Super-Gaussian Distribution / 優ガウス性の分布に基づくシステム同定のためのノンパラメトリックベイズモデル

Authors: Hiroki Tanji Hiroyuki Kamata Takahiro Murakami et al.

Source: 電気学会論文誌Ｃ（電子・情報・システム部門誌） / IEEJ Transactions on Electronics, Information and Systems. 2019, 139(4):380

Traffic demand-aware topology control for enhanced energy-efficiency of cellular networks

Authors: Pollakis, Emmanuel G. Cavalcante, Renato L. Stanczak, Slawomir

Subject Terms: Energy efficiency, Optimization, Majorization-minimization algorithm

Relation: https://zenodo.org/communities/fp7-bmc/; https://zenodo.org/records/59578; oai:zenodo.org:59578

Availability: https://doi.org/10.1186/s13638-016-0539-y
https://zenodo.org/records/59578

A majorization-minimization scheme for L 2 support vector regression

Authors: Zheng, Songfeng

Source: College of Natural and Applied Sciences

Subject Terms: majorization-minimization algorithm, quadratic programming, squared ϵ-insensitive loss function, Support vector regression

Relation: https://doi.org/10.1080/00949655.2021.1918691

Availability: https://bearworks.missouristate.edu/articles-cnas/3388
https://doi.org/10.1080/00949655.2021.1918691

Stream-suitable optimization algorithms for some soft-margin support vector machine variants

Authors: Nguyen, Hien D. Jones, Andrew T. McLachlan, Geoffrey J.

Subject Terms: BigData, Stochastic majorization–minimization algorithm, Streamed data, Support vector machines

Relation: orcid:0000-0002-5921-3145

Availability: https://espace.library.uq.edu.au/view/UQ:729087/thumbnail_njm_jjsds2018_t.jpg
https://espace.library.uq.edu.au/view/UQ:729087

gCoda: Conditional Dependence Network Inference for Compositional Data

Authors: Fang, Huaying Huang, Chengcheng Zhao, Hongyu et al.

Contributors: Fang, Huaying Huang, Chengcheng Zhao, Hongyu et al.

Source: SCI

Subject Terms: compositional data, direct interaction, inverse covariance matrix, microbial network, latent variable model, majorization-minimization algorithm, HUMAN MICROBIOME, LASSO, SELECTION, MODELS

Relation: 1906629; http://hdl.handle.net/20.500.11897/472469; WOS:000404522500007

Availability: https://hdl.handle.net/20.500.11897/472469
https://doi.org/10.1089/cmb.2017.0054

MAXIMUM SMOOTHED LIKELIHOOD DENSITY ESTIMATION IN TWO-SAMPLE MIXTURE DATA WITH LIKELIHOOD RATIO ORDERING

Authors: YU JIADONG STATISTICS & APPLIED PROBABILITY YU TAO

Contributors: YU JIADONG STATISTICS & APPLIED PROBABILITY YU TAO

Subject Terms: Smoothed likelihood, Mixture data, Likelihood ratio ordering, Majorization-minimization algorithm, Weighted isotonic regression

Relation: http://scholarbank.nus.edu.sg/handle/10635/138155

Availability: http://scholarbank.nus.edu.sg/handle/10635/138155

Parsimony and parameter estimation for mixtures of multivariate leptokurtic-normal distributions

Authors: Browne, Ryan P. Bagnato, Luca Punzo, Antonio et al.

Index Terms: Majorization–minimization algorithm, Leptokurtic-normal distribution, Parsimony, Settore SECS-S/01 - STATISTICA, info:eu-repo/semantics/article

URL: https://hdl.handle.net/10807/252936
issue:Settembre
firstpage:1
lastpage:29
numberofpages:29
issueyear:2023
journal:ADVANCES IN DATA ANALYSIS AND CLASSIFICATION