„Bayesian machine learning“

Suchergebnisse

427 Treffer

• Comparative Study of Multi‐objective Bayesian Optimization and NSGA‐III based Approaches for Injection Molding Process
  Jung, Jiyoung ; Park, Kundo ; Lee, Hugon ; Cho, Byungjin ; Ryu, Seunghwa
• A three-step SEM-Bayesian network approach for predicting the determinants of CloudIoT-based healthcare adoption
  Altawaiha, Iyad ; Atan, Rodziah ; Yaakob, Razali Bin ; Abdullah, Rusli Bin Hj
• Toward optimal probabilistic active learning using a Bayesian approach
  Kottke, Daniel ; Herde, Marek ; Sandrock, Christoph ; Huseljic, Denis ; Krempl, Georg ; Sick, Bernhard
• Efficient heuristics for learning scalable Bayesian network classifier from labeled and unlabeled data
  Wang, Limin ; Wang, Junjie ; Guo, Lu ; Li, Qilong
• Case Based Imprecision Estimates for Bayes Classifiers with the Bayesian Bootstrap
  Norén, G. Niklas ; Orre, Roland
• The accuracy of machine learning models relies on hyperparameter tuning: student result classification using random forest, randomized search, grid search, bayesian, genetic, and optuna algorithms
  Rimal, Yagyanath ; Sharma, Navneet ; Alsadoon, Abeer
• Atomistic simulation assisted error-inclusive Bayesian machine learning for probabilistically unraveling the mechanical properties of solidified metals
  Mahata, A. ; Mukhopadhyay, T. ; Chakraborty, S. ; Asle Zaeem, M.
• Automated machine learning hyperparameters tuning through meta-guided Bayesian optimization
  Garouani, Moncef ; Bouneffa, Mourad
• A Probabilistic Bayesian Machine Learning Framework for Comprehensive Characterization of Bond Wires in IGBT Modules Under Thermomechanical Loadings
  Quispe-Aguilar, Max-Fredi ; Aparco, Rosa Huaraca ; Otero, Calixto Cañari ; Huamán, Margoth Moreno ; Huamán-Romaní, Yersi-Luis
• Bayesian tensor factorisations for time series of counts
  Wang, Zhongzhen ; Dellaportas, Petros ; Kosmidis, Ioannis
• Bayesian Machine Learning in Metamaterial Design: Fragile Becomes Supercompressible
  Bessa, Miguel ; Glowacki, Piotr ; Houlder, Michael
• Selecting essential factors for predicting reference crop evapotranspiration through tree-based machine learning and Bayesian optimization
  Zhao, Long ; Wang, Yuhang ; Shi, Yi ; Zhao, Xinbo ; Cui, Ningbo ; Zhang, Shuo
• Bayesian Optimization with Experience for Fast Development of Monolithic Tandem Solar Cells: Simulation Case Study
  Tsoi, Konstantin ; Yerci, Selçuk
• Actively learning dynamical systems using Bayesian neural networks
  Tang, Shengbing ; Fujimoto, Kenji ; Maruta, Ichiro
• AI Models for Modeling and Simulation of Clinical Studies for Alzheimer's and Parkinson's Disease
  Sood, Meemansa ; Fröhlich, Holger ; Schultz, Thomas 2023 Universitäts- und Landesbibliothek Bonn
• PAC-Bayesian offline Meta-reinforcement learning
  Sun, Zheng ; Jing, Chenheng ; Guo, Shangqi ; An, Lingling
• Machine Learning‐Based Prediction of Immunomodulatory Properties of Polymers: Toward a Faster and Easier Development of Anti‐Inflammatory Biomaterials
  Akkache, Aghilas ; Clavier, Lisa ; Mezhenskyi, Oleh ; Andriienkova, Kateryna ; Soubrié, Thibaut ; Lavalle, Philippe ; Vrana, Nihal Engin ; Gribova, Varvara
• A general framework for the practical disintegration of PAC-Bayesian bounds
  Viallard, Paul ; Germain, Pascal ; Habrard, Amaury ; Morvant, Emilie
• A comparative Bayesian optimization-based machine learning and artificial neural networks approach for burned area prediction in forest fires: an application in Turkey
  Yazici, Kübra ; Taskin, Alev
• A new method for clustered survival data: Estimation of treatment effect heterogeneity and variable selection
  Hu, Liangyuan