An Effective Bayesian Neural Network Classifier with a Comparison Study to Support Vector Machine

DOI10.1162/08997660360675107zbMath1085.68636OpenAlexW2099319104MaRDI QIDQ4814205

Faming Liang

Publication date: 7 September 2004

Published in: Neural Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1162/08997660360675107

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Related Items (1)

Annealing stochastic approximation Monte Carlo algorithm for neural network training

Cites Work

• Reversible jump Markov chain Monte Carlo computation and Bayesian model determination
• Statistical modeling: The two cultures. (With comments and a rejoinder).
• Training v-Support Vector Classifiers: Theory and Algorithms
• Bayesian Model Averaging for Linear Regression Models
• Annealing Markov Chain Monte Carlo with Applications to Ancestral Inference
• Monte Carlo sampling methods using Markov chains and their applications
• Bayesian methods for support vector machines: Evidence and predictive class probabilities

This page was built for publication: An Effective Bayesian Neural Network Classifier with a Comparison Study to Support Vector Machine