Výsledky vyhľadávania - adaptive Gaussian process regression algorithm

A Personalized Dose‐Finding Algorithm Based on Adaptive Gaussian Process Regression

Autori: Yeonhee Park Won Chang

Zdroj: Pharm Stat

Predmety: Dose-Response Relationship, Drug, Normal Distribution, 01 natural sciences, 3. Good health, 03 medical and health sciences, 0302 clinical medicine, Drug Development, Research Design, Main Paper, Humans, Regression Analysis, Computer Simulation, Precision Medicine, 0101 mathematics, Algorithms

Prístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/39119879

Adaptive design of experiments to fit surrogate Gaussian process regression models allows fast sensitivity analysis of the input waveform for patient-specific 3D CFD models of liver radioembolization.

Autori: Bomberna T Maleux G Debbaut C

Zdroj: Computer methods and programs in biomedicine [Comput Methods Programs Biomed] 2024 Jul; Vol. 252, pp. 108234. Date of Electronic Publication: 2024 May 19.

Spôsob vydávania: Journal Article

Informácie o časopise: Publisher: Elsevier Scientific Publishers Country of Publication: Ireland NLM ID: 8506513 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1872-7565 (Electronic) Linking ISSN: 01692607 NLM ISO Abbreviation: Comput Methods Programs Biomed Subsets: MEDLINE

Výrazy zo slovníka MeSH: Liver Neoplasms*/radiotherapy , Algorithms* , Carcinoma, Hepatocellular*/radiotherapy , Embolization, Therapeutic*/methods, Humans ; Normal Distribution ; Liver ; Computer Simulation ; Hydrodynamics ; Regression Analysis ; Imaging, Three-Dimensional

A Novel Machine Learning-Guided Adaptive Optimizer for Dynamic Multi-Objective Problems.

Autori: Tlili, Sihem Rahal, Mohamed

Zdroj: Procedia Computer Science. 2025, Vol. 270, p4382-4391. 10p.

Predmety: Multi-objective optimization, Genetic algorithms, Gaussian processes, Optimizers (Computer software), Mathematical optimization, Reinforcement learning, Machine learning

Uncertainty Quantification and Optimal Design of EV-WPT System Efficiency based on Adaptive Gaussian Process Regression

Autori: Xinlei Shang Linlin Xu Quanyi Yu a ďalší

Zdroj: The Applied Computational Electromagnetics Society Journal (ACES). :929-940

Predmety: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 0210 nano-technology, 7. Clean energy

Study of a hull form optimization system based on a Gaussian process regression algorithm and an adaptive sampling strategy, Part II: Multi-objective optimization

Autori: Penghui Wang Yukun Feng Zuogang Chen a ďalší

Zdroj: Ocean Engineering. 286:115501

Adaptive Gaussian Process Regression for Bayesian inverse problems

Autori: Villani, Paolo Unger, Jörg Weiser, Martin

Témy: Mathematics - Numerical Analysis, 60G15, 62F15, 62F35, 65N21, text

URL: http://arxiv.org/abs/2404.19459

Adaptive Gaussian Process Regression for Efficient Building of Surrogate Models in Inverse Problems

Autori: Semler, Phillip Weiser, Martin

Témy: Mathematics - Numerical Analysis, 62F35, 62K20, 65N21, text

URL: http://arxiv.org/abs/2303.05824

Event-triggered human-machine shared steering online learning control strategy to accommodate driver behavioral uncertainty.

Autori: Shi, Wanqing Guo, Hongyan Liu, Jun a ďalší

Zdroj: ISA Transactions. Nov2025, Vol. 166, p229-240. 12p.

Predmety: Human-machine systems, Gaussian processes, Adaptive control systems, Real-time control, Time-varying systems, Global asymptotic stability

A Personalized Dose‐Finding Algorithm Based on Adaptive Gaussian Process Regression.

Autori: Park, Yeonhee Chang, Won

Zdroj: Pharmaceutical Statistics; Nov2024, Vol. 23 Issue 6, p1181-1205, 25p

Predmety: CLINICAL trials, KRIGING, INDIVIDUALIZED medicine, DRUG development, TREATMENT effectiveness

Distributed time-varying Gaussian process regression via Kalman filtering.

Autori: Taddei, Nicola Maggioni, Riccardo Eising, Jaap a ďalší

Zdroj: European Journal of Control. Nov2025:Part A, Vol. 86, pN.PAG-N.PAG. 1p.

Predmety: Gaussian processes, Kalman filtering, Machine learning, Feedback control systems, Bayesian analysis, Adaptive estimation (Statistics)

Study of a hull form optimization system based on a Gaussian process regression algorithm and an adaptive sampling strategy, Part I: Single-objective optimization.

Autori: Wang, Penghui Feng, Yukun Chen, Zuogang a ďalší

Zdroj: Ocean Engineering. Jul2023, Vol. 279, pN.PAG-N.PAG. 1p.

Predmety: *KRIGING, *MATHEMATICAL optimization, *HYBRID systems, *ALGORITHMS, *DETERMINISTIC processes, *EVOLUTIONARY algorithms

Researchers from Yangzhou University Describe Findings in Personalized Medicine (Self-adaptive Data-driven Evolutionary Algorithm Based On Random Forest Feature Selection and Incremental Gaussian Process Regression On Personalized...).

Zdroj: Drug Week. 7/28/2025, p1869-1869. 1p.

Machine learning for better prediction of seepage flow through embankment dams: Gaussian process regression versus SVR and RVM.

Autori: Bouchehed A Laouacheria F Heddam S a ďalší

Zdroj: Environmental science and pollution research international [Environ Sci Pollut Res Int] 2023 Feb; Vol. 30 (9), pp. 24751-24763. Date of Electronic Publication: 2023 Jan 24.

Spôsob vydávania: Journal Article

Informácie o časopise: Publisher: Springer Country of Publication: Germany NLM ID: 9441769 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1614-7499 (Electronic) Linking ISSN: 09441344 NLM ISO Abbreviation: Environ Sci Pollut Res Int Subsets: MEDLINE

Výrazy zo slovníka MeSH: Algorithms* , Machine Learning*, Normal Distribution

Adaptive Gaussian process regression for efficient building of surrogate models in inverse problems

Autori: Phillip Semler Martin Weiser

Zdroj: Inverse Problems. 39:125003

Predmety: FOS: Mathematics, 0202 electrical engineering, electronic engineering, information engineering, Mathematics - Numerical Analysis, Numerical Analysis (math.NA), 02 engineering and technology, 0101 mathematics, 01 natural sciences, 62F35, 62K20, 65N21

Prístupová URL adresa: http://arxiv.org/abs/2303.05824

Uncertainty Quantification and Optimal Design of EV-WPT System Efficiency based on Adaptive Gaussian Process Regression.

Autori: Xinlei Shang Linlin Xu Quanyi Yu a ďalší

Zdroj: Applied Computational Electromagnetics Society Journal; Dec2023, Vol. 38 Issue 12, p929-940, 12p

Predmety: KRIGING, WIRELESS power transmission, PROBABILITY density function, ELECTRIC charge, CIRCUIT elements, RADAR in aeronautics

Joint variable selection of both fixed and random effects for Gaussian process-based spatially varying coefficient models.

Autori: Dambon, Jakob A. Sigrist, Fabio Furrer, Reinhard

Zdroj: International Journal of Geographical Information Science. Dec2022, Vol. 36 Issue 12, p2525-2548. 24p.

Predmety: Fixed effects model, Maximum likelihood statistics, Gaussian processes, Regression analysis, Stochastic processes

Advancing Predictive Maintenance: Median-Based Particle Filtering in MOSFET Prognostics.

Autori: Hadi, Ehab Fakhri Bin Baharuddin, Mohd Zafri Mahmood Zuhdi, Ahmad Wafi

Zdroj: Journal Européen des Systèmes Automatisés. Aug2024, Vol. 57 Issue 4, p1103-1117. 15p.

Predmety: Remaining useful life, Kriging, Adaptive filters, Industrialism, Plant maintenance, Resampling (Statistics)

Reliability-Based Design Optimization of Structures Considering Uncertainties of Earthquakes Based on Efficient Gaussian Process Regression Metamodeling

Autori: Yanjie Xiao Feng Yue Xinwei Wang a ďalší

Zdroj: Axioms, Vol 11, Iss 2, p 81 (2022)

Predmety: seismic reliability analysis, nonlinear structure, reliability-based design optimization, adaptive metamodeling, gaussian process regression, Monte Carlo simulation, Mathematics, QA1-939

Popis súboru: electronic resource

Relation: https://www.mdpi.com/2075-1680/11/2/81; https://doaj.org/toc/2075-1680

Prístupová URL adresa: https://doaj.org/article/c5561da86cb446129d8bc680921ec158

Comparison of Bayesian Regularized Neural Network, Random Forest Regression, Support Vector Regression and Multivariate Adaptive Regression Splines Algorithms to Predict Body Weight from Biometrical Measurements in Thalli Sheep.

Alternate Title: Thalli Koyunlarında Biyometrik Ölçümlerden Vücut Ağırlığı Tahmini İçin Bayesian Regularized Neural Network, Random Forest Regresyon, Support Vector Regresyon ve Çok Değişkenli Regresyon Uzanımları Algoritmalarının Karşılaştırılması

Autori: TIRINK, Cem¹ cem.tirink@gmail.com

Zdroj: Kafkas Üniversitesi Veteriner Fakültesi Dergisi. May/Jun2022, Vol. 28 Issue 3, p411-419. 9p.

Predmet: Random forest algorithms, Body weight, Splines, Sheep breeds, Sheep, Ear, Artificial neural networks

Reliability Estimation Method by Adaptive Surrogate Models Using Gaussian Process Regression and Importance Sampling / 重要度サンプリングとガウス過程回帰による適応型代理モデルの基礎的検討

Autori: Ikumasa YOSHIDA Kaiya HOTTA Tomoka NAKAMURA a ďalší

Zdroj: Artificial Intelligence and Data Science / AI・データサイエンス論文集. 2023, 4(3):205