„bayesian optimization“
Suchergebnisse
726 Treffer
-
Failure analysis of advanced ceramics using bivariate Weibull distribution and Bayesian estimation
-
Parameter calibration and broadband ground motion simulation based on bayesian optimization—a case study of the 2023 Türkiye earthquake doublet
-
Reward design in multi-agent systems using successor features and multi-information source bayesian optimization
-
CONELPABO: composite networks learning via parallel Bayesian optimization to predict remaining useful life in predictive maintenance
-
Topology-adaptive Bayesian optimization for deep ring echo state networks in speech emotion recognition
-
From data to clean water: XGBoost and Bayesian optimization for advanced wastewater treatment with ultrafiltration
-
Random forest-based modelling of parameters of fractional derivative concrete creep model with Bayesian optimization
-
Improving the surface quality of friction stir welds using reinforcement learning and Bayesian optimization
-
An optimization problem based on a Bayesian approach for the 2D Helmholtz equation
-
Bayesian optimization for extreme high-speed laser material deposition
-
Bayesian optimization of gray-box process models using a modified upper confidence bound acquisition function
-
Multi-cycle high-throughput growth media optimization using batch Bayesian optimization
-
Application of Bayesian Optimization for Pharmaceutical Product Development
-
Stiffness optimization of electric spindle performance based on multi-layer perceptron integrated Bayesian
-
Soft classification with learnable spatial filters using bayesian optimization and uncertainty-guided XGBoost for enhanced land cover mapping
-
Object state optimization algorithm based on Bayesian random sampling for visual object tracking
-
Bayesian distributed backpropagation for neuro-structure optimization: a systematic review and meta-analysis of magnetohydrodynamics flow dynamics in dual-layer optical fiber coating systems
-
Enhancing IoT-based healthcare security with grey filter bayesian CNN and optimization algorithms
-
Ensemble framework for multistep carbon emission prediction: an improved Bi-LSTM model based on the Bayesian optimization algorithm and two-stage decomposition
-
Machine Learning Cotton Price Forecasts Based on Gaussian Process Regression Models with Hyper-parameters Tuned Through Bayesian Optimization and Cross Validation