„Bayesian machine learning“
Suchergebnisse
427 Treffer
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Effectiveness of gamified semiotic language learning based on Maya glyphs: Bayesian analyses of cognitive-affective mechanisms
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Machine Learning-Based Mid-Span Displacement Prediction for RC Columns Under Blast Loading with Bayesian Optimization
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A credit risk assessment on borrowers classification using optimized decision tree and KNN with bayesian optimization
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Towards the sustainability of power utilities in Nigeria: a Bayesian network approach
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Mental arithmetic task load recognition using EEG signal and Bayesian optimized K-nearest neighbor
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A model for intrusion detection system using hidden Markov and variational Bayesian model for IoT based wireless sensor network
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Modeling mobile apps user behavior using Bayesian networks
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Fuzzy Bayesian context-aware system to reduce electricity consumption
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Hierarchical Bayesian approach for improving weights for solving multi-objective route optimization problem
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Integrative analysis of genetic variability and functional traits in lung adenocarcinoma epithelial cells via single-cell RNA sequencing, GWAS, bayesian deconvolution, and machine learning
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A Bayesian finite-element trained machine learning approach for predicting post-burn contraction
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NBWELM: naive Bayesian based weighted extreme learning machine
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Bayesian-optimized machine learning and experimental study of Al₂O₃-CuO hybrid nanofluid thermal performance in turbulent circular tube flow
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Hybrid mechanics-informed machine learning models for predicting mechanical failure in graphene sponge: a low-data strategy for mechanical engineering applications
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A Bayesian-latent model of large language model sycophancy
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E-Bayesian and hierarchical Bayesian inference of exponentiated lifetime distribution under adaptive progressively censored data with binomial removals
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Soft classification with learnable spatial filters using bayesian optimization and uncertainty-guided XGBoost for enhanced land cover mapping
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Robust storm surge forecasts for early warning system: a machine learning approach using Monte Carlo Bayesian model selection algorithm
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Machine Learning Cotton Price Forecasts Based on Gaussian Process Regression Models with Hyper-parameters Tuned Through Bayesian Optimization and Cross Validation
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Selection of optimum GCMs through Bayesian networks for developing improved machine learning based multi-model ensembles of precipitation and temperature