Search Results - "standard stochastic gradient algorithm"

Zeroth-Order Nonconvex Stochastic Optimization: Handling Constraints, High Dimensionality, and Saddle Points.

Authors: Balasubramanian, Krishnakumar Ghadimi, Saeed

Source: Foundations of Computational Mathematics; Feb2022, Vol. 22 Issue 1, p35-76, 42p

Subject Terms: APPROXIMATION algorithms, NEWTON-Raphson method, STOCHASTIC approximation, CONSTRAINED optimization, HESSIAN matrices, ESTIMATION theory

Zeroth-order Nonconvex Stochastic Optimization: Handling Constraints, High-Dimensionality and Saddle-Points

Authors: Balasubramanian, Krishnakumar Ghadimi, Saeed

Index Terms: Mathematics - Optimization and Control, Computer Science - Data Structures and Algorithms, Computer Science - Machine Learning, Mathematics - Statistics Theory, Statistics - Machine Learning, text

URL: http://arxiv.org/abs/1809.06474

Particle filtering-based recursive identification for controlled auto-regressive systems with quantised output.

Authors: Jie Ding Jiazhong Chen Jinxing Lin et al.

Source: IET Control Theory & Applications (Wiley-Blackwell); 2019, Vol. 13 Issue 14, p2181-2187, 7p

Subject Terms: PROBABILITY density function, SET functions, PARTICLES, RANDOM sets, ENGINEERING simulations, FILTERS & filtration

Particle filtering‐based recursive identification for controlled auto‐regressive systems with quantised output.

Authors: Ding, Jie Chen, Jiazhong Lin, Jinxing et al.

Source: IET Control Theory & Applications (Wiley-Blackwell). Sep2019, Vol. 13 Issue 14, p2181-2187. 7p.

Network Attack Classification with a Shallow Neural Network for Internet and Internet of Things (IoT) Traffic.

Authors: Ehmer, Jörg Savaria, Yvon Granado, Bertrand et al.

Source: Electronics (2079-9292); Aug2024, Vol. 13 Issue 16, p3318, 18p

Subject Terms: COMPUTER network traffic, COMPUTER network security, CYBERTERRORISM, MACHINE learning, TELECOMMUNICATION systems

A Filtering-Based Stochastic Gradient Estimation Method for Multivariate Pseudo-Linear Systems Using the Partial Coupling Concept.

Authors: Ma, Ping Liu, Yuan Chen, Yiyang

Source: Processes; Sep2023, Vol. 11 Issue 9, p2700, 17p

Subject Terms: KALMAN filtering, BOX-Jenkins forecasting, FILTERS & filtration, PARAMETER identification

A stochastic first-order trust-region method with inexact restoration for finite-sum minimization.

Authors: Bellavia, Stefania Krejić, Nataša Morini, Benedetta et al.

Source: Computational Optimization & Applications; Jan2023, Vol. 84 Issue 1, p53-84, 32p

Subject Terms: RANDOM functions (Mathematics), ALGORITHMS

On the Convergence Properties of a Stochastic Trust-Region Method with Inexact Restoration.

Authors: Bellavia, Stefania Morini, Benedetta Rebegoldi, Simone

Source: Axioms (2075-1680); Jan2023, Vol. 12 Issue 1, p38, 17p

Subject Terms: SAMPLE size (Statistics), STOCHASTIC convergence, DIFFERENTIABLE functions

global stochastic optimization particle filter algorithm.

Authors: Gerber, M Douc, R

Source: Biometrika; Dec2022, Vol. 109 Issue 4, p937-955, 19p

Subject Terms: GLOBAL optimization, ONLINE algorithms, DISTRIBUTION (Probability theory), EXPECTATION-maximization algorithms, ALGORITHMS, SAMPLE size (Statistics)

Data-recursive algorithms for blind channel identification...

Authors: Goeckel, Dennis L. Hero, Alfred O. Stark, Wayne E.

Source: IEEE Transactions on Signal Processing; Aug98, Vol. 46 Issue 8, p2217, 4p, 1 Chart, 5 Graphs

Subject Terms: SYSTEM identification, ALGORITHMS, ADAPTIVE signal processing

STOCHASTIC MULTILEVEL COMPOSITION OPTIMIZATION ALGORITHMS WITH LEVEL-INDEPENDENT CONVERGENCE RATES.

Authors: BALASUBRAMANIAN, KRISHNAKUMAR GHADIMI, SAEED NGUYEN, ANTHONY

Source: SIAM Journal on Optimization; 2022, Vol. 32 Issue 2, p519-544, 26p

Subject Terms: MATHEMATICAL optimization, PROBLEM solving, ALGORITHMS, MOVING average process

Geographic Terms: THAILAND

Deep multistage multi-task learning for quality prediction of multistage manufacturing systems.

Authors: Yan, Hao Sergin, Nurettin Dorukhan Brenneman, William A. et al.

Source: Journal of Quality Technology; 2021, Vol. 53 Issue 5, p526-544, 19p

Subject Terms: FORECASTING, FLEXIBLE manufacturing systems

Dynamic Parameter Identification Based on Lagrangian Formulation and Servomotor-type Actuators for Industrial Robots.

Authors: Urrea, Claudio Pascal, José

Source: International Journal of Control, Automation & Systems; Aug2021, Vol. 19 Issue 8, p2902-2909, 8p

Anatomically Constrained Deep Learning for Automating Dental CBCT Segmentation and Lesion Detection.

Authors: Zheng, Zhiyang Yan, Hao Setzer, Frank C. et al.

Source: IEEE Transactions on Automation Science & Engineering; Apr2021, Vol. 18 Issue 2, p603-614, 12p

Subject Terms: DEEP learning, CONE beam computed tomography, ARTIFICIAL intelligence, MACHINE learning, DENTAL specialties, DENTAL care

Multikernel Passive Stochastic Gradient Algorithms and Transfer Learning.

Authors: Krishnamurthy, Vikram Yin, George

Source: IEEE Transactions on Automatic Control; Apr2022, Vol. 67 Issue 4, p1792-1805, 14p

Subject Terms: MEAN square algorithms, MACHINE learning, KERNEL functions, STOCHASTIC approximation, LEAST squares, MONTE Carlo method

GAN-MP hybrid heuristic algorithm for non-convex portfolio optimization problem.

Authors: Kim, Yerin Kang, Daemook Jeon, Mingoo et al.

Source: Engineering Economist; Jul-Sep2019, Vol. 64 Issue 3, p196-226, 31p, 7 Diagrams, 4 Charts, 5 Graphs

Subject Terms: MATHEMATICAL programming, HEURISTIC algorithms, ALGORITHMS

Convergence Analysis of Weighted Stochastic Gradient Identification Algorithms Based on Latest‐Estimation for ARX Models.

Authors: Wu, Ai‐Guo Fu, Fang‐Zhou Dong, Rui‐Qi

Source: Asian Journal of Control; Jan2019, Vol. 21 Issue 1, p509-519, 11p

Subject Terms: PARAMETER estimation, STOCHASTIC systems, ESTIMATION theory, AUTOMATIC control systems, LEAST squares

Learning Semisupervised Multilabel Fully Convolutional Network for Hierarchical Object Parsing.

Authors: Liu, Xiaobai Xu, Qian Adkins, Grayson et al.

Source: IEEE Transactions on Neural Networks & Learning Systems; Jul2020, Vol. 31 Issue 7, p2500-2509, 10p

Subject Terms: DIFFERENTIABLE functions, IMAGE segmentation, COST functions, DEEP learning, PIXELS

Exploiting Linear Support Vector Machine for Correlation-Based High Dimensional Data Classification in Wireless Sensor Networks.

Authors: Muriira, Lawrence Mwenda Zhiwei Zhao Geyong Min

Source: Sensors (14248220); Sep2018, Vol. 18 Issue 9, p2840, 23p, 1 Color Photograph, 2 Diagrams, 2 Charts, 6 Graphs

Modelling and multi-innovation parameter identification for Hammerstein nonlinear state space systems using the filtering technique.

Authors: Wang, Xuehai Ding, Feng

Source: Mathematical & Computer Modelling of Dynamical Systems; Mar2016, Vol. 22 Issue 2, p113-140, 28p

Subject Terms: PARAMETER identification, MATHEMATICAL models, HAMMERSTEIN equations, STATE-space methods, ELECTRONIC noise, FILTERS (Mathematics), STOCHASTIC analysis