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Gaussian Process Regression
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Fast ground penetrating radar dual-parameter full waveform inversion method accelerated by hybrid compilation of CUDA kernel function and PyTorch
Trustworthy Prediction with Gaussian Process Knowledge Scores
Predicting Stock Market Crash with Bayesian Generalised Pareto Regression
Overcoming Overfitting in Reinforcement Learning via Gaussian Process Diffusion Policy
Fast Derivative Valuation from Volatility Surfaces using Machine Learning
A Multi-output Gaussian Process Regression with Negative Transfer Mitigation for Generating Boundary Test Scenarios of Multi-UAV Systems
Empirical 3D Channel Modeling for Cellular-Connected UAVs: A Triple-Layer Machine Learning Approach
A fast sound power prediction tool for genset noise using machine learning
A Novel Shape-Aware Topological Representation for GPR Data with DNN Integration
Efficient Implementation of Gaussian Process Regression Accelerated Saddle Point Searches with Application to Molecular Reactions
Cell Library Characterization for Composite Current Source Models Based on Gaussian Process Regression and Active Learning
STRIDE: Sparse Techniques for Regression in Deep Gaussian Processes
Bayesian full waveform inversion with sequential surrogate model refinement
Ensuring Reproducibility in Generative AI Systems for General Use Cases: A Framework for Regression Testing and Open Datasets
Transition States Energies from Machine Learning: An Application to Reverse Water-Gas Shift on Single-Atom Alloys
Reservoir-enhanced Segment Anything Model for Subsurface Diagnosis
Inverted Gaussian Process Optimization for Nonparametric Koopman Operator Discovery
The impact of external uncertainties on the extreme return connectedness between food, fossil energy, and clean energy markets
MarsLGPR: Mars Rover Localization with Ground Penetrating Radar
EDENet: Echo Direction Encoding Network for Place Recognition Based on Ground Penetrating Radar
Forecasting Monthly Residential Natural Gas Demand Using Just-In-Time-Learning Modeling
Distributionally Robust Active Learning for Gaussian Process Regression
Integrated Data Analysis of Plasma Electron Density Profile Tomography for HL-3 with Gaussian Process Regression
Efficient Spatial Estimation of Perceptual Thresholds for Retinal Implants via Gaussian Process Regression
Machine learning-guided construction of an analytic kinetic energy functional for orbital free density functional theory
Hybrid Fingerprint-based Positioning in Cell-Free Massive MIMO Systems
Adaptively Weighted Averaging Over-the-Air Computation and Its Application to Distributed Gaussian Process Regression
Interference Prediction Using Gaussian Process Regression and Management Framework for Critical Services in Local 6G Networks
Advanced technology in railway track monitoring using the GPR Technique: A Review
SAM-Aware Graph Prompt Reasoning Network for Cross-Domain Few-Shot Segmentation
Data-Driven, Parameterized Reduced-order Models for Predicting Distortion in Metal 3D Printing
Electricity Price Prediction Using Multi-Kernel Gaussian Process Regression Combined with Kernel-Based Support Vector Regression
A Parameter Adaptive Trajectory Tracking and Motion Control Framework for Autonomous Vehicle
Hybrid Gaussian Process Regression with Temporal Feature Extraction for Partially Interpretable Remaining Useful Life Interval Prediction in Aeroengine Prognostics
Evaluation of uncertainty estimations for Gaussian process regression based machine learning interatomic potentials
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