Výsledky vyhľadávania - "regularized stochastic BFGS algorithm"

RES: Regularized Stochastic BFGS Algorithm

Autori: Aryan Mokhtari Alejandro Ribeiro

Zdroj: IEEE Transactions on Signal Processing. 62:6089-6104

Predmety: FOS: Computer and information sciences, Computer Science - Machine Learning, Statistics - Machine Learning, Optimization and Control (math.OC), FOS: Mathematics, 0202 electrical engineering, electronic engineering, information engineering, Machine Learning (stat.ML), 14. Life underwater, 02 engineering and technology, Mathematics - Optimization and Control, Machine Learning (cs.LG)

Prístupová URL adresa: http://arxiv.org/pdf/1401.7625
http://arxiv.org/abs/1401.7625

Regularized stochastic BFGS algorithm

Autori: Aryan Mokhtari Alejandro Ribeiro

Zdroj: 2013 IEEE Global Conference on Signal and Information Processing. :1109-1112

Predmety: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Prístupová URL adresa: https://arxiv.org/pdf/1401.7625v1
https://dblp.uni-trier.de/db/journals/corr/corr1401.html#MokhtariR14
https://www.seas.upenn.edu/~aribeiro/preprints/c_2013_mokhtari_ribeiro_a.pdf
https://arxiv.org/abs/1401.7625
https://ieeexplore.ieee.org/document/6737088/

RES: Regularized Stochastic BFGS Algorithm

Autori: Mokhtari, Aryan Ribeiro, Alejandro

Témy: Computer Science - Machine Learning, Mathematics - Optimization and Control, Statistics - Machine Learning, text

URL: http://arxiv.org/abs/1401.7625

An Improved Technique for Pneumonia Infected Patients Image Recognition Based on Combination Algorithm of Smooth Generalized Pinball SVM and Variational Autoencoders

Autori: Wachiraphong Ratiphaphongthon Wanida Panup Rabian Wangkeeree

Zdroj: IEEE Access, Vol 10, Pp 107431-107445 (2022)

Predmety: generalized pinball loss, feature noise, Support vector machine, image recognition, regularized stochastic BFGS algorithm, 0202 electrical engineering, electronic engineering, information engineering, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, TK1-9971

Prístupová URL adresa: https://doaj.org/article/f6a6cf36569c41d5bc6cc634a00638b2

Regularized stochastic BFGS algorithm.

Autori: Mokhtari, Aryan Ribeiro, Alejandro

Zdroj: 2013 IEEE Global Conference on Signal & Information Processing; 2013, p1109-1112, 4p

From Initialization to Convergence: A Three-Stage Technique for Robust RBF Network Training.

Autori: Tsoulos, Ioannis G. Charilogis, Vasileios Tsalikakis, Dimitrios

Zdroj: AI; Nov2025, Vol. 6 Issue 11, p280, 38p

Predmety: MACHINE learning, RADIAL basis functions, MATHEMATICAL optimization, REGRESSION analysis, PROCESS optimization, CLASSIFICATION algorithms

Efficient Reduction of Variances in Stochastic Spectral Conjugate Gradient Algorithm.

Autori: YIMER, SEIFU ENDRIS KUMAM, POOM CHAIPUNYA, PARIN

Zdroj: Carpathian Journal of Mathematics; 2025, Vol. 41 Issue 3, p849-862, 14p

Predmety: CONVEX functions, CONJUGATE gradient methods, NONLINEAR equations, MACHINE learning, ALGORITHMS, GENERALIZATION

Piecewise just-in-time data recovering and fault detection method for time-varying wind power generation process with missing data.

Autori: Chang, Junyu Jing, Hua Chen, Xu a ďalší

Zdroj: International Journal of Machine Learning & Cybernetics; Jun2025, Vol. 16 Issue 5, p3399-3412, 14p

A robust stochastic quasi-Newton algorithm for non-convex machine learning: A robust stochastic quasi-Newton algorithm...: H. Liu et al.

Autori: Liu, Hanger Liang, Yuqing Liu, Jinlan a ďalší

Zdroj: Applied Intelligence; May2025, Vol. 55 Issue 7, p1-14, 14p

Predmety: COMPUTATIONAL mathematics, MACHINE learning, MATHEMATICAL optimization, CHECKS, ALGORITHMS, QUASI-Newton methods

Bolstering stochastic gradient descent with model building.

Autori: Birbil, Ş. İlker Martin, Özgür Onay, Gönenç a ďalší

Zdroj: TOP (1134-5764); Oct2024, Vol. 32 Issue 3, p517-536, 20p

Lactation milk yield prediction in primiparous cows on a farm using the seasonal auto-regressive integrated moving average model, nonlinear autoregressive exogenous artificial neural networks and Wood's model.

Autori: Grzesiak, Wilhelm Zaborski, Daniel Szatkowska, Iwona a ďalší

Zdroj: Animal Bioscience. Apr2021, Vol. 34 Issue 4, p770-782. 13p.

On the Inversion‐Free Newton's Method and Its Applications.

Autori: Chau, Huy N. Kirkby, J. Lars Nguyen, Dang H. a ďalší

Zdroj: International Statistical Review; Aug2024, Vol. 92 Issue 2, p284-321, 38p

Predmety: NEWTON-Raphson method, ALGORITHMS

Newtonian Property of Subgradient Method with Optimization of Metric Matrix Parameter Correction.

Autori: Tovbis, Elena Krutikov, Vladimir Kazakovtsev, Lev

Zdroj: Mathematics (2227-7390); Jun2024, Vol. 12 Issue 11, p1618, 27p

Predmety: SUBGRADIENT methods, NEWTON-Raphson method, DERIVATIVES (Mathematics), QUASI-Newton methods, SMOOTHNESS of functions, MATRIX inversion, NONSMOOTH optimization

A Hard-Constraint Wide-Body Physics-Informed Neural Network Model for Solving Multiple Cases in Forward Problems for Partial Differential Equations.

Autori: Chen, Simin Liu, Zhixiang Zhang, Wenbo a ďalší

Zdroj: Applied Sciences (2076-3417); Jan2024, Vol. 14 Issue 1, p189, 21p

Predmety: PARTIAL differential equations, FINITE volume method, PHASE transitions, FINITE difference method, FINITE element method, BURGERS' equation, WAVE equation

On the Convergence Rate of Quasi-Newton Methods on Strongly Convex Functions with Lipschitz Gradient.

Autori: Krutikov, Vladimir Tovbis, Elena Stanimirović, Predrag a ďalší

Zdroj: Mathematics (2227-7390); Dec2023, Vol. 11 Issue 23, p4715, 15p

Predmety: QUASI-Newton methods, DERIVATIVES (Mathematics), GEOMETRIC series, CONVEX functions, PROBLEM solving

A single timescale stochastic quasi-Newton method for stochastic optimization.

Autori: Wang, Peng Zhu, Detong

Zdroj: International Journal of Computer Mathematics; Dec2023, Vol. 100 Issue 12, p2196-2216, 21p

Predmety: QUASI-Newton methods, HESSIAN matrices, SUPPORT vector machines, DERIVATIVES (Mathematics), SMOOTHNESS of functions

Deep Neural Networks Training by Stochastic Quasi-Newton Trust-Region Methods.

Autori: Yousefi, Mahsa Martínez, Ángeles

Zdroj: Algorithms; Oct2023, Vol. 16 Issue 10, p490, 26p

Predmety: ARTIFICIAL neural networks, QUASI-Newton methods, DEEP learning, PROBLEM solving

An Overview of Stochastic Quasi-Newton Methods for Large-Scale Machine Learning.

Autori: Guo, Tian-De Liu, Yan Han, Cong-Ying

Zdroj: Journal of the Operations Research Society of China; Jun2023, Vol. 11 Issue 2, p245-275, 31p

Recent Advances in Stochastic Gradient Descent in Deep Learning.

Autori: Tian, Yingjie Zhang, Yuqi Zhang, Haibin

Zdroj: Mathematics (2227-7390); Feb2023, Vol. 11 Issue 3, p682, 23p

Predmety: DEEP learning, NATURAL language processing, IMAGE processing, ARTIFICIAL intelligence, MACHINE learning

Joint rescaled asymmetric least squared nonparallel support vector machine with a stochastic quasi-Newton based algorithm.

Autori: Qi, Kai Yang, Hu

Zdroj: Applied Intelligence; Sep2022, Vol. 52 Issue 12, p14387-14405, 19p

Predmety: SUPPORT vector machines, QUASI-Newton methods, ALGORITHMS, LEAST squares