An empirical evaluation of Bayesian sampling with hybrid Monte Carlo for training neural network classifiers

• HUSMEIMER D.

  Neural Systems Research Group, Department of Electrical and Electronic Engineering, Imperial College of Science, Technology and Medicine

• PENNY W. D.

  Neural Systems Research Group, Department of Electrical and Electronic Engineering, Imperial College of Science, Technology and Medicine

• ROBERTS S. J.

  Neural Systems Research Group, Department of Electrical and Electronic Engineering, Imperial College of Science, Technology and Medicine

収録刊行物

• Neural networks : the official journal of the International Neural Network Society

  Neural networks : the official journal of the International Neural Network Society 12 (4), 677-705, 1999-06-01

キーワード

• Bayesian statistics
• Prior and posterior distribution
• Parameters and hyperparameters
• Gibbs sampling
• Hybrid Monte Carlo
• Automatic relevance determination
• Evidence approximation
• Classification problems
• Benchmarking

詳細情報

• CRID: 1572543024548039040
• NII論文ID: 10008958398
• NII書誌ID: AA10680676
• ISSN: 08936080
• 本文言語コード: en
• データソース種別:
  • CiNii Articles