Výsledky vyhledávání - "Gaussian processes"

Machine learning-enabled prediction of nonequilibrium reaction dynamics: A mixed Gaussian process regression–neural network framework for O + O2 state-to-state dissociation kinetics.

Autoři: Yun, Shasha Yang, Jiawei Li, Jun

Zdroj: Journal of Chemical Physics. 11/7/2025, Vol. 163 Issue 17, p1-16. 16p.

Témata: *MACHINE learning, *GAUSSIAN processes, *NON-equilibrium reactions, *AERODYNAMICS, *CHEMICAL kinetics

Modeling water using multipole response tensors fitted to the monomer geometry.

Autoři: Öström, Jonatan Pettersson, Lars G. M.

Zdroj: Journal of Chemical Physics. 9/7/2025, Vol. 163 Issue 9, p1-17. 17p.

Témata: *GAUSSIAN processes, *DIFFUSION coefficients, *PERTURBATION theory, *MOLECULAR dynamics, *QUANTUM chemistry

Latent functional Gaussian process incorporating output spatial correlations.

Autoři: Liu, Ziyu Li, Yongxiang Yue, Xiaowei a další

Zdroj: IISE Transactions. Dec2025, Vol. 57 Issue 12, p1436-1449. 14p.

Témata: *STATISTICAL correlation, *RANDOM variables, GAUSSIAN processes, MATRIX inversion, STATISTICAL models

Efficient training of Gaussian processes with tensor product structure.

Autoři: Koenig, Josie Pfeffer, Max Stoll, Martin

Zdroj: Computational Optimization & Applications. Nov2025, Vol. 92 Issue 2, p563-587. 25p.

Témata: GAUSSIAN processes, TENSOR products, ITERATIVE methods (Mathematics), NUMERICAL analysis, COVARIANCE matrices, KRONECKER products, PARAMETERIZATION

On generalized sub-Gaussian canonical processes and their applications.

Autoři: Chen, Yiming Wang, Yuxuan Zhu, Kefan

Zdroj: Communications in Statistics: Theory & Methods. 2025, Vol. 54 Issue 24, p7690-7707. 18p.

Témata: *STOCHASTIC processes, PRINCIPAL components analysis, GAUSSIAN processes, MATHEMATICAL inequalities, ASYMPTOTIC distribution

Bayesian Gaussian Process Predictions of Chongqing Carbon Market Prices.

Autoři: Jin, Bingzi Xu, Xiaojie

Zdroj: Journal of Environmental Assessment Policy & Management. Dec2025, Vol. 27 Issue 4, p1-43. 43p.

Témata: *EMISSIONS trading, *CARBON offsetting, *BAYESIAN analysis, *ENVIRONMENTAL policy, *ECONOMIC forecasting, GAUSSIAN processes, MACHINE learning

Geografický termín: CHONGQING (China), CHINA

Fractional Cross-Validation for Optimizing Hyperparameters of Supervised Learning Algorithms.

Autoři: Yerramilli, Suraj Apley, Daniel W.

Zdroj: Technometrics. Nov2025, Vol. 67 Issue 4, p683-692. 10p.

Témata: *MATHEMATICAL optimization, SUPERVISED learning, GAUSSIAN processes, MODEL validation

Targeted Variance Reduction: Effective Bayesian Optimization of Black-Box Simulators with Noise Parameters.

Autoři: Miller, John J. Mak, Simon

Zdroj: Technometrics. Nov2025, Vol. 67 Issue 4, p617-631. 15p.

Témata: *SIMULATION methods & models, *UNCERTAINTY (Information theory), SURROGATE-based optimization, GAUSSIAN processes, STOCHASTIC programming, MINIMUM variance estimation

BOPIM: Bayesian Optimization for Influence Maximization on Temporal Networks.

Autoři: Yanchenko, Eric¹ (AUTHOR) eyanchenko@aiu.ac.jp

Zdroj: Technometrics. Nov2025, Vol. 67 Issue 4, p669-682. 14p.

Témata: *MATHEMATICAL optimization, GAUSSIAN processes, KERNEL functions, TIME-varying networks, HAMMING distance

Computer model calibration via Bayesian optimization based on a bi-fidelity Gaussian process model for transformed sum of squared errors.

Autoři: Tan, Matthias Hwai Yong Ye, Wenxing Sullivan-Fedock, John a další

Zdroj: IISE Transactions. Oct2025, p1-26. 26p. 5 Illustrations.

Témata: *SIMULATION methods & models, GAUSSIAN processes, CALIBRATION, MEASUREMENT errors, DATA transformations (Statistics), SURROGATE-based optimization

Compression of turbulence time series data using Gaussian process regression

Autoři: Perez Martinez, Adalberto Rezaeiravesh, Saleh Ju, Yi a další

Zdroj: Computer Physics Communications. 319

Témata: Data compression, Gaussian processes, Time series, Turbulence

Popis souboru: print

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-373150
https://doi.org/10.1016/j.cpc.2025.109914

Online learning for agile underwater maneuvering: Gaussian processes and sparse regression for data-driven model predictive control

Autoři: Bhat, Sriharsha Troni, Giancarlo Stenius, Ivan

Zdroj: Robotics and Autonomous Systems. 195

Témata: Autonomous underwater vehicles, Gaussian processes, Model predictive control, Sparse regression, System identification

Popis souboru: print

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-372407
https://doi.org/10.1016/j.robot.2025.105211

Active learning of molecular data for task-specific objectives.

Autoři: Ghosh, Kunal Todorović, Milica Vehtari, Aki a další

Zdroj: Journal of Chemical Physics. 1/7/2025, Vol. 162 Issue 1, p1-12. 12p.

Témata: *GAUSSIAN processes, *ACQUISITION of data, *STATISTICAL sampling, *NOISE, *MOLECULES

Bayesian Optimization for real-time γ-localization measurements with robotic platforms.

Autoři: Tsitsimpelis, Ioannis West, Andrew Mathur, Kartikey a další

Zdroj: EPJ Web of Conferences. 11/6/2025, Vol. 338, p1-5. 5p.

Témata: *RADIATION measurements, *GAUSSIAN processes, *SCANNING systems, *NUCLEAR counters, *AUTONOMOUS robots, *SURROGATE-based optimization

Machine learning-enabled prediction of nonequilibrium reaction dynamics: A mixed Gaussian process regression–neural network framework for O + O2 state-to-state dissociation kinetics.

Autoři: Yun, Shasha Yang, Jiawei Li, Jun

Zdroj: Journal of Chemical Physics; 11/7/2025, Vol. 163 Issue 17, p1-16, 16p

Témata: MACHINE learning, GAUSSIAN processes, NON-equilibrium reactions, AERODYNAMICS, CHEMICAL kinetics

Neural operators for forward and inverse potential–density mappings in classical density functional theory.

Autoři: Pan, Runtong Fang, Xinyi Azizzadenesheli, Kamyar a další

Zdroj: Journal of Chemical Physics; 10/28/2025, Vol. 163 Issue 16, p1-25, 25p

Témata: DENSITY functional theory, NONLINEAR analysis, MACHINE learning, GAUSSIAN processes, CONVOLUTIONAL neural networks

Accelerating phase diagram construction through activity coefficient prediction.

Autoři: Farshad, Mohsen Salih, Fathya Y. M. Abranches, Dinis O. a další

Zdroj: Journal of Chemical Physics; 10/28/2025, Vol. 163 Issue 16, p1-8, 8p

Témata: PHASE diagrams, THERMODYNAMICS, MOLECULAR dynamics, GAUSSIAN processes, PREDICTION models

Two-stage design for failure probability estimation with Gaussian process surrogates.

Autoři: Booth, Annie S. Renganathan, S. Ashwin

Zdroj: Journal of Quality Technology. Sep2025, p1-17. 17p. 7 Illustrations.

Témata: *MONTE Carlo method, *PROBABILITY theory, GAUSSIAN processes, PREDICTION models, MACHINE learning, COMPUTER simulation, ADAPTIVE sampling (Statistics)

Predicting geometrical characteristics in Laser Directed Energy Deposition with small-dataset via Self-Generating Multitask Model-Agnostic Meta-Learning.

Autoři: Chen, Yijin Zhu, Mengyang Liang, Hang a další

Zdroj: International Journal of Computer Integrated Manufacturing. Aug2025, p1-17. 17p. 8 Illustrations.

Témata: LASER deposition, GAUSSIAN processes, MACHINE learning, LEAST absolute deviations (Statistics), GENERALIZATION

A Bi-Objective Optimization Based Acquisition Strategy for Batch Bayesian Global Optimization.

Autoři: Carciaghi, Francesco Magistri, Simone Mansueto, Pierluigi a další

Zdroj: Computational Optimization & Applications. Sep2025, Vol. 92 Issue 1, p81-123. 43p.

Témata: *MULTIPROCESSORS, *MATHEMATICAL analysis, MULTI-objective optimization, GAUSSIAN processes, SAMPLING (Process)