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kdubiq's BibTeX entry:  

Model Clustering for Neural Network Ensembles

Springer Lecture Notes in Computer Science, LNCS 2415: p. 383 f, 2002.
Authors: Bert Bakker and Tom Heskes
Description: KDubiq Blueprint
Tags: Blueprint KDubiq kdubiq
Abstract: Abstract.We show that large ensembles of (neural network) models, obtained e.g. in bootstrapping or sampling from (Bayesian) probability distributions, can be effectively summarized by a relatively small number of representative models. We present a method to find representative models through clustering based on the models' outputs on a data set. We apply the method on models obtained through bootstrapping (Boston housing) and on a multitask learning example.LNCS 2415, p. 383 ff.
| BibTeX  
@article{bakker02,
title = {Model Clustering for Neural Network Ensembles},
author = {Bert Bakker and Tom Heskes},
journal = {Springer Lecture Notes in Computer Science},
pages = {p. 383 f},
volume = {LNCS 2415},
year = {2002},
description = {KDubiq Blueprint},
abstract = {Abstract.We show that large ensembles of (neural network) models, obtained e.g. in bootstrapping or sampling from (Bayesian) probability distributions, can be effectively summarized by a relatively small number of representative models. We present a method to find representative models through clustering based on the models' outputs on a data set. We apply the method on models obtained through bootstrapping (Boston housing) and on a multitask learning example.LNCS 2415, p. 383 ff.},
groupsearch = {0},
keywords = {Blueprint KDubiq kdubiq }
}