@inproceedings{e1a6dc9b592d464ca10b2ed8df11c3c6,
title = "Hierarchical model selection for NGnet based on variational Bayes inference",
abstract = "This article presents a variational Bayes inference for normalized Gaussian network, which is a kind of mixture models of local experts. In order to search for the optimal model structure, we develop a hierarchical model selection method. The performance of our method is evaluated by using function approximation and nonlinear dynamical system identification problems. Our method achieved better performance than existing methods.",
author = "Junichiro Yoshimoto and Shin Ishii and Sato, {Masa Aki}",
year = "2002",
doi = "10.1007/3-540-46084-5_108",
language = "English",
isbn = "9783540440741",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "661--666",
editor = "Dorronsoro, {Jose R.} and Dorronsoro, {Jose R.}",
booktitle = "Artificial Neural Networks, ICANN 2002 - International Conference, Proceedings",
address = "Germany",
note = "2002 International Conference on Artificial Neural Networks, ICANN 2002 ; Conference date: 28-08-2002 Through 30-08-2002",
}