Výsledky vyhledávání - linear-time gradient algorithm

Gradients Do Grow on Trees: A Linear-Time O(N)-Dimensional Gradient for Statistical Phylogenetics.

Autoři: Ji, Xiang Zhang, Zhenyu Holbrook, Andrew a další

Zdroj: Molecular Biology and Evolution. 37(10)

Témata: Infectious Diseases, Bioengineering, Networking and Information Technology R&D (NITRD), Good Health and Well Being, Algorithms, Evolution, Molecular, Flavivirus, Lassa virus, Models, Genetic, Phylogeny, linear-time gradient algorithm, random-effects molecular clock model, Bayesian inference, maximum likelihood, Biochemistry and Cell Biology, Evolutionary Biology, Genetics

Popis souboru: application/pdf

Přístupová URL adresa: https://escholarship.org/uc/item/1fm0b35t
https://escholarship.org/content/qt1fm0b35t/qt1fm0b35t.pdf

Control of linear time-varying systems by the gradient algorithm

Autoři: Chen, Min-Shin Dept. of Mech. Eng., National Taiwan Univ.

Přispěvatelé: Chen, Min-Shin Dept. of Mech. Eng., National Taiwan Univ.

Zdroj: Proceedings of the 36th IEEE Conference on Decision and Control. 5:4549-4553

Témata: 0209 industrial biotechnology, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Popis souboru: application/pdf; 359822 bytes

Přístupová URL adresa: http://ntur.lib.ntu.edu.tw/bitstream/246246/2007041910031885/1/00649692.pdf
https://ieeexplore.ieee.org/document/649692/

Detecting Evolutionary Change-Points with Branch-Specific Substitution Models and Shrinkage Priors

Autoři: Ji, Xiang Redelings, Benjamin Su, Shuo a další

Zdroj: Res Sq

Témata: FOS: Computer and information sciences, Populations and Evolution, linear-time gradient algorithm, FOS: Biological sciences, Bayesian inference, Computation, Populations and Evolution (q-bio.PE), natural selection, branch-specific substitution model, maximum likelihood, Article, Computation (stat.CO)

Přístupová URL adresa: http://arxiv.org/abs/2507.08386
https://lirias.kuleuven.be/handle/20.500.12942/770638
https://lirias.kuleuven.be/handle/20.500.12942/773807
https://doi.org/10.21203/rs.3.rs-6926809/v1

Linear Model Predictive Control Under Continuous Path Constraints via Parallelized Primal-Dual Hybrid Gradient Algorithm

Autoři: Li, Zishuo Yang, Bo Li, Jiayun a další

Zdroj: 2023 62nd IEEE Conference on Decision and Control (CDC)

Témata: 0209 industrial biotechnology, Optimization and Control (math.OC), 0211 other engineering and technologies, FOS: Mathematics, 02 engineering and technology, Mathematics - Optimization and Control

Popis souboru: application/application/pdf

Přístupová URL adresa: http://arxiv.org/abs/2303.17889
http://hdl.handle.net/20.500.11850/644726

Provable training of a ReLU gate with an iterative non-gradient algorithm

Autoři: Sayar Karmakar Anirbit Mukherjee

Zdroj: Mukherjee, A & Karmakar, S 2022, ' Provable training of a ReLU gate with an iterative non-gradient algorithm ', Neural Networks, vol. 151, pp. 264-275 . https://doi.org/10.1016/j.neunet.2022.03.040

Témata: FOS: Computer and information sciences, Computer Science - Machine Learning, non-gradient iterative algorithms, Computer Science - Information Theory, Information Theory (cs.IT), Neural nets, Learning and adaptive systems in artificial intelligence, Machine Learning (stat.ML), Nonconvex programming, global optimization, Non-smooth non-convex optimization, Machine Learning (cs.LG), neural nets, stochastic algorithms, Stochastic algorithms, Statistics - Machine Learning, 90C15 68W40 68T05, Computer Simulation, Non-gradient iterative algorithms, non-smooth nonconvex optimization, stochastic optimisation, Algorithms

Popis souboru: application/xml

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/35452894
http://arxiv.org/abs/2005.04211
https://zbmath.org/7751320
https://doi.org/10.1016/j.neunet.2022.03.040
https://research.manchester.ac.uk/en/publications/a4916933-2661-45bd-8486-535ced443d0d
https://doi.org/10.1016/j.neunet.2022.03.040
https://arxiv.org/abs/2005.04211
https://research.manchester.ac.uk/en/publications/a4916933-2661-45bd-8486-535ced443d0d
https://doi.org/10.1016/j.neunet.2022.03.040

Scalable gradients enable Hamiltonian Monte Carlo sampling for phylodynamic inference under episodic birth-death-sampling models.

Autoři: Shao, Yucai Magee, Andrew Suchard, Marc a další

Zdroj: PLoS Computational Biology. 20(3)

Témata: Humans, Influenza A Virus, H3N2 Subtype, Algorithms, Influenza, Human, Epidemics, Hemorrhagic Fever, Ebola, Monte Carlo Method

Popis souboru: application/pdf

Přístupová URL adresa: https://escholarship.org/uc/item/0zn3k1nt
https://escholarship.org/content/qt0zn3k1nt/qt0zn3k1nt.pdf

Multi-constraint graph partitioning problems via recursive bipartition algorithm based on subspace minimization conjugate gradient method.

Autoři: Sun, Wumei Liu, Hongwei Wang, Xiaoyu

Zdroj: Journal of Applied Mathematics & Computing; 2025 Suppl 1, Vol. 71, p1289-1315, 27p

Method for monitoring the influence of ambient noise on stochastic gradient algorithms during identification of linear time-invariant systems

METHOD FOR MONITORING THE INFLUENCE OF AMBIENT NOISE ON STOCHASTIC GRADIENT ALGORITHMS DURING IDENTIFICATION OF LINEAR TIME-INVARIANT SYSTEMS

Separable synchronous redundant rule-based multi-innovation predictive gradient algorithms and convergence analysis for nonlinear ExpARX models.

Autoři: Gu, Ya Hou, Yuting Zhu, Quanmin

Zdroj: Nonlinear Dynamics; May2025, Vol. 113 Issue 9, p9685-9707, 23p

Blind source separation algorithm for biomedical signal based on lie group manifold.

Autoři: Chen, Daguang Zheng, Mingliang

Zdroj: Molecular & Cellular Biomechanics; 2024, Vol. 21 Issue 3, p1-9, 10p

Témata: BLIND source separation, INDEPENDENT component analysis, RIEMANNIAN manifolds, OPTIMIZATION algorithms, BIOMEDICAL signal processing, GEODESIC equation, EMPIRICAL research

Provable Training of a ReLU Gate with an Iterative Non-Gradient Algorithm

Autoři: Karmakar, Sayar Mukherjee, Anirbit

Témata: Computer Science - Machine Learning, Computer Science - Information Theory, Statistics - Machine Learning, 90C15 68W40 68T05, text

URL: http://arxiv.org/abs/2005.04211

Linear-Time Algorithm for Learning Large-Scale Sparse Graphical Models

Autoři: Salar Fattahi Richard Y. Zhang Somayeh Sojoudi

Zdroj: IEEE Access, Vol 7, Pp 12658-12672 (2019)

Témata: Optimization, graphical models, numerical algorithms, Electrical engineering. Electronics. Nuclear engineering, 0101 mathematics, 01 natural sciences, TK1-9971

Přístupová URL adresa: https://ieeexplore.ieee.org/ielx7/6287639/8600701/08598839.pdf
https://doaj.org/article/561aed1d7f6f47d593641a4b506fcdfc

SHARPER BOUNDS FOR PROXIMAL GRADIENT ALGORITHMS WITH ERRORS.

Autoři: HAMADOUCHE, ANIS YUN WU WALLACE, ANDREW M. a další

Zdroj: SIAM Journal on Optimization; 2024, Vol. 34 Issue 1, p278-305, 28p

Témata: INFORMATION storage & retrieval systems, ALGORITHMS, PROBLEM solving, DETERMINISTIC algorithms

On Replacing Lagrange’s 'Reduced Gradient Algorithm' by Simplified Fixed Point Iteration in Adaptive Model Predictive Control

Autoři: Jozsef K. Tar Hamza Khan Károly Széll

Zdroj: 2019 IEEE 23rd International Conference on Intelligent Engineering Systems (INES). :000201-000206

Témata: 03 medical and health sciences, 0302 clinical medicine

Přístupová URL adresa: http://xplorestaging.ieee.org/ielx7/9107008/9109432/09109504.pdf?arnumber=9109504
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=9109504

Improved data driven strategy for aircraft controller design.

Autoři: Jianhong, Wang Ramirez-Mendoza, Ricardo A. Pena-Bermudez, Julian C. a další

Zdroj: Scientific Reports; 11/18/2025, Vol. 15 Issue 1, p1-12, 12p

Témata: AIRPLANE control systems, OPTIMIZATION algorithms, ADAPTIVE control systems, QUANTITATIVE research, SCIENTIFIC method

Training (overparametrized) neural networks in near-linear time

Autoři: van den Brand, Jan Peng, B. Song, Z. a další

Zdroj: Leibniz International Proceedings in Informatics, LIPIcs.

Témata: Deep learning theory, Nonconvex optimization, Backpropagation, Convex optimization, Curve fitting, Deep learning, Deep neural networks, Gradient methods, Jacobian matrices, Machinery, Network layers, Approximate solution, Computational overheads, Dimension reduction, Gauss-Newton iteration, Generalization Error, Second order optimization, Second-order algorithms, Slow convergences, Multilayer neural networks

Popis souboru: print

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-309947

LINEAR TIME ALGORITHMS FOR PRIVACY PRESERVING CONVEX OPTIMIZATION

Multierror stochastic gradient algorithm for identification of a Hammerstein system with random noise and its application in the modeling of a continuous stirring tank reactor.

Autoři: Jing, Shaoxue

Zdroj: Optimal Control - Applications & Methods; May2023, Vol. 44 Issue 3, p1510-1522, 13p

Témata: SYSTEM identification, UNCERTAINTY (Information theory), PROBABILITY density function, ALGORITHMS, MANUFACTURING processes

A fixed step distributed proximal gradient push‐pull algorithm based on integral quadratic constraint.

Autoři: Gao, Wenhua Xie, Yibin Ren, Hongwei

Zdroj: Optimal Control - Applications & Methods; Sep2023, Vol. 44 Issue 5, p2693-2707, 15p

Témata: LINEAR matrix inequalities, DISTRIBUTED algorithms, MONOTONE operators, ALGORITHMS, NONLINEAR equations, NONSMOOTH optimization, INTEGRALS