„Bayesian machine learning“

Suchergebnisse

427 Treffer

• Machine Learning Based on Digital Image Colorimetry Driven In Situ, Noncontact Plasma Etch Depth Prediction
  Kang, Minji ; Kim, Seongho ; Go, Eunseo ; Paek, Donghyeon ; Lim, Geon ; Kim, Muyoung ; Kim, Changmin ; Kim, Soyeun ; Jang, Sung Kyu ; Bak, Moon Soo ; Choi, Min Sup ; Kang, Woo Seok ; Kim, Jaehyun ; Kim, Jaekwang ; Kim, Hyeong‐U
• Agents and Artificial Intelligence – 7th International Conference, ICAART 2015, Lisbon, Portugal, January 10-12, 2015, Revised Selected Papers
  Duval, Beatrice ; Herik, Jaap ˜van denœ ; Loiseau, Stephane ; Filipe, Joaquim 2015 Springer Berlin Heidelberg
• Trade-offs in Bayesian active learning for feasible region identification
  Nikova, Ioana ; Rojas Gonzalez, Sebastian ; Dhaene, Tom ; Couckuyt, Ivo
• Advances in Neural Computation, Machine Learning, and Cognitive Research – Selected Papers from the XIX International Conference on Neuroinformatics, October 2-6, 2017, Moscow, Russia
  Kryzhanovsky, Boris ; Dunin-Barkowski, Witali ; Redko, Vladimir 2018 Springer International Publishing
• A machine learning radial basis Bayesian regularization neural network procedure for the cholera disease model
  Sabir, Zulqurnain ; Srayeldine, Abdallah
• Regression – Models, Methods and Applications
  Fahrmeir, Ludwig ; Kneib, Thomas ; Lang, Stefan ; Marx, Brian D. 2013 Springer Berlin Heidelberg
• 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
• 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
• Structural decomposition-based learning of large bayesian networks for detecting conditionally independent overlapping superstructure communities
  Jia, Xiaolong ; Li, Hongru
• 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
• 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
• Evaluating Recycling Initiatives for Landfill Diversion in Developing Economies Using Integrated Machine Learning Techniques
  Adedara, Muyiwa Lawrence ; Taiwo, Ridwan ; Ayeleru, Olusola Olaitan ; Bork, Hans-Rudolf 2025 Universitätsbibliothek Kiel
• Slope stability prediction of circular mode failure by machine learning models based on Bayesian Optimizer
  Kadkhodaei, Mohammad Hossein ; Ghasemi, Ebrahim ; Fazel, Mohammad Hossein
• Data reconstruction from machine learning models via inverse estimation and Bayesian inference
  Hartoyo, Agus ; Ciupek, Dominika ; Malawski, Maciej ; Crimi, Alessandro
• Investigating potential causes of Sepsis with Bayesian network structure learning
  Petrungaro, Bruno ; Kitson, Neville K. ; Constantinou, Anthony C.