𝔖 Bobbio Scriptorium
✦   LIBER   ✦

A principled approach for building and evaluating neural network classification models

✍ Scribed by Victor L. Berardi; B.Eddy Patuwo; Michael Y. Hu

Book ID
114154909
Publisher
Elsevier Science
Year
2004
Tongue
English
Weight
336 KB
Volume
38
Category
Article
ISSN
0167-9236

No coin nor oath required. For personal study only.

πŸ“œ SIMILAR VOLUMES

Building neural network models for time
Building neural network models for time series: a statistical approach
✍ Marcelo C. Medeiros; Timo TerΓ€svirta; Gianluigi Rech πŸ“‚ Article πŸ“… 2005 πŸ› John Wiley and Sons 🌐 English βš– 360 KB

This paper is concerned with modelling time series by single hidden layer feedforward neural network models. A coherent modelling strategy based on statistical inference is presented. Variable selection is carried out using simple existing techniques. The problem of selecting the number of hidden un

A lazy learning approach for building cl
A lazy learning approach for building classification models
✍ InΓ©s M. GalvΓ‘n; JoΕ› M. Valls; Miguel GarcΓ­a; Pedro Isasi πŸ“‚ Article πŸ“… 2011 πŸ› John Wiley and Sons 🌐 English βš– 203 KB

In this paper, we propose a lazy learning strategy for building classification learning models. Instead of learning the models with the whole training data set before observing the new instance, a selection of patterns is made depending on the new query received and a classification model is learnt