https://es.mathworks.com/help/stats/regressiongp.predict.html
predict - Predict response of Gaussian process regression model - MATLAB
This MATLAB function returns the predicted responses ypred for the Gaussian process regression (GPR) model gprMdl and the predictor values in Xnew.
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https://eprints.whiterose.ac.uk/id/eprint/208809/
Spatially Varying Coefficient Regression with GAM Gaussian Process splines: GAM(e)-on - White Rose...
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Machine learning hedge strategy with deep Gaussian process regression - Risk.net
Jul 17, 2023 - An optimal hedging strategy for options in discrete time using a reinforcement learning technique
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Approximations for Binary Gaussian Process Classification
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Gaussian process for predicting CPU utilization and its application to energy efficiency
For the past ten years, Gaussian process has become increasingly popular for modeling numerous inferences and reasoning solutions due to the robustness and...
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https://avesis.yildiz.edu.tr/yayin/d474446e-8556-4908-8a74-a9d34974ff25/a-benchmark-comparison-and-optimization-of-gaussian-process-regression-support-vector-machines-and-m5p-tree-model-in-approximation-of-the-lateral-confinement-coefficient-for-cfrp-wrapped-rectangular-square-rc-columns
A benchmark comparison and optimization of Gaussian process regression, support vector machines,...
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Modeling Latent Neural Dynamics with Gaussian Process Switching Linear Dynamical Systems | Read...
Dec 11, 2024 - This research introduces a new method called the Gaussian Process Switching Linear Dynamical System (gpSLDS) to analyze and understand how groups of brain...
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https://www.kronosfusionenergy.com/ai/gaussian-process-posterior.html
A Gaussian-Process Posterior Update · Kronos AI · Quantum
Condition a Gaussian process on three observations and compute the predictive mean and variance at a new input by hand.
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Skew Gaussian Process – Alessio Benavoli
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A CLUSTERED GAUSSIAN PROCESS MODEL FOR COMPUTER EXPERIMENTS for Statistica Sinica - IBM Research
A CLUSTERED GAUSSIAN PROCESS MODEL FOR COMPUTER EXPERIMENTS for Statistica Sinica by Chih-Li Sung et al.
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Gaussian Process Classification
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https://ch.mathworks.com/matlabcentral/answers/1917495-gaussian-process-regression-how-to-fit-a-basis-function-but-not-other-parameters
Gaussian process regression - how to fit a basis function but not other parameters - MATLAB Answers...
Gaussian process regression - how to fit a basis... Learn more about fitrgp, gaussian process regression, basis function MATLAB
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https://ibme.ox.ac.uk/publication/gaussian-process-clustering-for-the-functional-characterisation-of-vital-sign-trajectories/
GAUSSIAN PROCESS CLUSTERING FOR THE FUNCTIONAL CHARACTERISATION OF VITAL-SIGN TRAJECTORIES – IBME
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sklearn.gaussian_process.kernels.Sum — scikit-learn 1.4.2 documentation
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Driving exploration by maximum distribution in gaussian process bandits - ML cube
Feb 15, 2021 - Driving exploration by maximum distribution in gaussian process bandits Authors: Alessandro Nuara, Francesco Trovò, Dominic Crippa, Nicola Gatti, Marcello...
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A conceptual and practical introduction to Hilbert Space Gaussian Process (HSGP) approximation...
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Surrogate Modeling Using Gaussian Process-Based NLARX Model - MATLAB & Simulink
In this example, you replace a hydraulic cavitation cycle model in Simulink with a surrogate nonlinear ARX (NLARX) model to facilitate faster simulation.
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Combinatorial Gaussian Process Bandits with Probabilistically Triggered Arms | ML Anthology
Combinatorial bandit models and algorithms are used in many sequential decision-making tasks ranging from item list recommendation to influence maximization. …
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https://mvdw.uk/publication/vdw-2020-inv/
Variational Gaussian Process Models without Matrix Inverses | Mark van der Wilk
Jan 1, 2020 - Add the full text or supplementary notes for the publication here using Markdown formatting.
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Surrogate Modeling for Bayesian Optimization beyond a Single Gaussian Process - Experts@Minnesota
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Spatial derivatives of Gaussian process models
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Gaussian Process Inference Modelling of Dynamic Robot Control for Expressive Piano Playing · Luca...
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Standard Gaussian Process is All You Need for High-Dimensional Bayesian Optimization [논문 퀵 리뷰]
이 ICLR 2024 논문과 관련하여, 본 리뷰는 고차원에서의 표준 Bayesian Optimization을 요약하고, gradient vanishing을 실패 모드로 식별합니다.
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Scholars@Duke publication: Bayesian logistic Gaussian process models for dynamic networks
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Robust Gaussian process regression with the trimmed marginal likelihood
Jul 2, 2023 - Robust Gaussian process regression with the trimmed marginal likelihoodDaniel Andrade, Akiko TakedaAccurate outlier detection is not only a necessary pr...
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Data-Driven Gaussian Process-Based Model Predictive Control for a Nonlinear Gas–Liquid System
This study develops a data-driven Gaussian process-based model predictive control (GP-MPC) method for an interacting nonlinear gas–liquid system. Three...
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On degeneracy and invariances of random fields paths with applications in Gaussian process...
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Gaussian Process Latent Variable Model
Gaussian Process Latent Variable Model
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Ensemble of Sparse Gaussian Process Experts for Implicit Surface Mapping with Streaming Data – AMM...
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A Gaussian Process framework for constraining the nuclear equation of state from microscopic...
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Physics-Based Gaussian Process Method for Predicting Average Product Lifetime in Design Stage -...
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GPLP: A Local and Parallel Computation Toolbox for Gaussian Process Regression
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Gray-box Inference for Structured Gaussian Process Models
Apr 10, 2017 - Gray-box Inference for Structured Gaussian Process ModelsPietro Galliani, Amir Dezfouli, Edwin Bonilla, Novi QuadriantoWe develop an automated...
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Gaussian process-based Bayesian non-linear filtering for online target tracking - Xi'an Jiaotong...
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Soft Sensor Modeling of Product Concentration in Glutamate Fermentation using Gaussian Process...
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Bayesian Data Analysis for Gaussian Process Tomography - Royal Military Academy
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Development of Gaussian Process Regression-Based Machine Learning Potentials with Applications to...
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K2SC: Flexible systematics correction and detrending of K2 light curves using Gaussian process...
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https://stat.kaust.edu.sa/topics/log-gaussian-cox-process
Log-Gaussian Cox process | Statistics
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