„Bayesian Learning“

Suchergebnisse

999 Treffer

• Approaches to Probabilistic Model Learning for Mobile Manipulation Robots
  Sturm, Jürgen 2013 Springer Berlin Heidelberg
• Bayesian Nonparametric Statistics – École d’Été de Probabilités de Saint-Flour LI - 2023
  Castillo, Ismaël 2024 Springer Nature Switzerland, Imprint: Springer
• Zero-Shot Parameter Learning of Robot Dynamics Using Bayesian Statistics and Prior Knowledge
  Reiners, Carsten ; Trinh, Minh ; Gründel, Lukas ; Tauchmann, Sven ; Bitterolf, David ; Petrovic, Oliver ; Brecher, Christian 2025 Universitätsbibliothek der RWTH Aachen
• GNSS Radio Occultation Climatologies mapped by Machine Learning and Bayesian Interpolation
  Shehaj, Endrit ; Leroy, Stephen ; Cahoy, Kerri ; Geiger, Alain ; Crocetti, Laura ; Möller, Gregor ; Soja, Benedikt ; Rothacher, Markus
• Efficient structure learning of gene regulatory networks with Bayesian active learning
  Sándor, Dániel ; Antal, Péter
• Bayesian deep-learning structured illumination microscopy enables reliable super-resolution imaging with uncertainty quantification
  Liu, Tao ; Liu, Jiahao ; Li, Dong ; Tan, Shan
• Structural decomposition-based learning of large bayesian networks for detecting conditionally independent overlapping superstructure communities
  Jia, Xiaolong ; Li, Hongru
• Breast cancer classification using breast ultrasound images with a hybrid of transfer learning and Bayesian-optimized fast learning network
  Ahishakiye, Emmanuel ; Kanobe, Fredrick
• Bayesian network structure learning by opposition-based learning
  Sun, Baodan ; Zhang, Xinyi ; Jiang, Junhui ; Gong, Jianguang ; Lin, Dan
• Learning Bayesian networks based on bi-velocity discrete particle swarm optimization with mutation operator
  Wang, Jingyun ; Liu, Sanyang
• Unlocking the black box beyond Bayesian global optimization for materials design using reinforcement learning
  Xian, Yuehui ; Ding, Xiangdong ; Jiang, Xue ; Zhou, Yumei ; Sun, Jun ; Xue, Dezhen ; Lookman, Turab
• Modeling rapid language learning by distilling Bayesian priors into artificial neural networks
  McCoy, R. Thomas ; Griffiths, Thomas L.
• Integrated deep learning and Bayesian optimization approach for enhanced prediction of high-performance concrete strength
  Tipu, Rupesh Kumar ; Goyal, Archna ; Singh, Digvijay ; Kumar, Ayyala Kishore Ajay
• Comparison of Machine Learning Algorithms and Bayesian Estimation in Predicting Tacrolimus Concentration in Tunisian Kidney Transplant Patients During the Early Post-Transplant Period
  Ben-Fredj, Nadia ; Dridi, Issam ; Dridi, Ichrak ; Ben-Yahya, Noureddine ; Aouam, Karim
• Towards global reaction feasibility and robustness prediction with high throughput data and bayesian deep learning
  Zhong, Haowen ; Liu, Yilan ; Sun, Haibin ; Liu, Yuru ; Zhang, Rentao ; Li, Baochen ; Yang, Yi ; Huang, Yuqing ; Yang, Fei ; Mak, Frankie S. ; Foo, Klement ; Lin, Sen ; Yu, Tianshu ; Wang, Peng ; Wang, Xiaoxue
• Regression – Models, Methods and Applications
  2021 Springer Berlin Heidelberg
• Machine learning application with Bayesian regularization for predicting pressure drop in R134a's annular evaporation and condensation
  Çolak, Andaç Batur ; Bacak, Aykut ; Karakoyun, Yakup ; Koca, Aliihsan ; Dalkilic, Ahmet Selim
• Bayesian-optimized recursive machine learning for predicting human-induced changes in suspended sediment transport
  Kundu, Soumya ; Swarnkar, Somil ; Agarwal, Akshay
• Physics‐Based Inverse Modeling of Battery Degradation with Bayesian Methods
  Philipp, Micha C. J. ; Kuhn, Yannick ; Latz, Arnulf ; Horstmann, Birger
• Penalized and Sparse Bayesian Regression Estimation for machine learning
  Petschnigg, Christina