„Bayesian machine learning“

Suchergebnisse

427 Treffer

• Uncertainty-Based Performance Prediction and Optimization of High-Fluidization Cement Grouting Material Using Machine Learning and Bayesian Inference
  Ren, Jiaolong ; Wang, Meng ; Zhang, Lin ; Zhao, Zedong ; Wang, Jian ; Chen, Jingchun ; Zhao, Hongbo
• Bayesian Physics Informed Neural Networks for real-world nonlinear dynamical systems
  Linka, Kevin ; Schäfer, Amelie ; Meng, Xuhui ; Zou, Zongren ; Karniadakis, George ; Kuhl, Ellen 2022 Universitätsbibliothek der Technischen Universität Hamburg
• Generation of synthetic datasets using weighted bayesian association rules in clinical world
  Kharya, Shweta ; Soni, Sunita ; Swarnkar, Tripti
• Black-box Bayesian adversarial attack with transferable priors
  Zhang, Shudong ; Gao, Haichang ; Shu, Chao ; Cao, Xiwen ; Zhou, Yunyi ; He, Jianping
• A user-guided Bayesian framework for ensemble feature selection in life science applications (UBayFS)
  Jenul, Anna ; Schrunner, Stefan ; Pilz, Jürgen ; Tomic, Oliver
• Bayesian network parameter learning using constraint-based data extension method
  Ru, Xinxin ; Gao, Xiaoguang ; Wang, Yangyang ; Liu, Xiaohan
• BO-Aug: learning data augmentation policies via Bayesian optimization
  Zhang, Chunxu ; Li, Ximing ; Zhang, Zijian ; Cui, Jiaxu ; Yang, Bo
• Machine-learning prediction of selective laser melting additively manufactured part density by feature-dimension-ascended Bayesian network model for process optimisation
  Li, Bo ; Zhang, Wei ; Xuan, Fuzhen
• An Introduction to Machine Learning
  Kubat, Miroslav 2017 Springer International Publishing
• Rapid design of secondary deformation-aging parameters for ultra-low Co content Cu-Ni-Co-Si-X alloy via Bayesian optimization machine learning
  Zhang, Hongtao ; Fu, Huadong ; Shen, Yuheng ; Xie, Jianxin
• Causal Paths Allowing Simultaneous Control of Multiple Nanoparticle Properties Using Multi‐Target Bayesian Inference
  Ting, Jonathan Y. C. ; Li, Sichao ; Barnard, Amanda
• Accelerated Search for BaTiO 3 ‐Based Ceramics with Large Energy Storage at Low Fields Using Machine Learning and Experimental Design
  Yuan, Ruihao ; Tian, Yuan ; Xue, Dezhen ; Xue, Deqing ; Zhou, Yumei ; Ding, Xiangdong ; Sun, Jun ; Lookman, Turab
• Partitioned hybrid learning of Bayesian network structures
  Huang, Jireh ; Zhou, Qing
• Using Active Learning to Develop Machine Learning Models for Reaction Yield Prediction
  Viet Johansson, Simon ; Gummesson Svensson, Hampus ; Bjerrum, Esben ; Schliep, Alexander ; Haghir Chehreghani, Morteza ; Tyrchan, Christian ; Engkvist, Ola
• A Novel Multiple Feature-Based Engine Knock Detection System using Sparse Bayesian Extreme Learning Machine
  Yang, Zhao-Xu ; Rong, Hai-Jun ; Wong, Pak Kin ; Angelov, Plamen ; Vong, Chi Man ; Chiu, Chi Wai ; Yang, Zhi-Xin
• Machine learning as a tool to engineer microstructures: Morphological prediction of tannin-based colloids using Bayesian surrogate models
  Jin, Soo-Ah ; Kämäräinen, Tero ; Rinke, Patrick ; Rojas, Orlando J. ; Todorović, Milica
• Charge Transfer into Organic Thin Films: A Deeper Insight through Machine‐Learning‐Assisted Structure Search
  Egger, Alexander T. ; Hörmann, Lukas ; Jeindl, Andreas ; Scherbela, Michael ; Obersteiner, Veronika ; Todorović, Milica ; Rinke, Patrick ; Hofmann, Oliver T.
• iQSPR in XenonPy: A Bayesian Molecular Design Algorithm
  Wu, Stephen ; Lambard, Guillaume ; Liu, Chang ; Yamada, Hironao ; Yoshida, Ryo
• Hybrid-based Bayesian algorithm and hydrologic indices for flash flood vulnerability assessment in coastal regions: machine learning, risk prediction, and environmental impact
  Abu El-Magd, Sherif Ahmed ; Maged, Ali ; Farhat, Hassan I.
• Machine Learning on a Robotic Platform for the Design of Polymer–Protein Hybrids
  Tamasi, Matthew J. ; Patel, Roshan A. ; Borca, Carlos H. ; Kosuri, Shashank ; Mugnier, Heloise ; Upadhya, Rahul ; Murthy, N. Sanjeeva ; Webb, Michael A. ; Gormley, Adam J.