| dc.creator | Rubiolo, Mariano | |
| dc.date | 2012-08 | |
| dc.date | 2012 | |
| dc.date | 2021-08-30T15:29:38Z | |
| dc.date.accessioned | 2023-07-15T03:01:13Z | |
| dc.date.available | 2023-07-15T03:01:13Z | |
| dc.identifier | http://sedici.unlp.edu.ar/handle/10915/123741 | |
| dc.identifier | https://41jaiio.sadio.org.ar/sites/default/files/14_ASAI_2012.pdf | |
| dc.identifier | issn:1850-2784 | |
| dc.identifier.uri | https://repositorioslatinoamericanos.uchile.cl/handle/2250/7464142 | |
| dc.description | When large models are used for a classification task, model compression is necessary because there are transmission, space, time or computing constraints that have to be fulfilled. Multilayer Perceptron (MLP) models are traditionally used as a classifier, but depending on the problem, they may need a large number of parameters (neuron functions, weights and bias) to obtain an acceptable performance. This work extends the evaluation of a technique to compress an array of MLPs, through the outputs of a Volterra-Neural Network (Volterra-NN), maintaining its classification performance. The obtained results show that these outputs can be used to build an array of (Volterra-NN) that needs significantly less parameters than the original array of MLPs, furthermore having the same high accuracy in most of the cases. The Volterra-NN compression capabilities have been tested by solving several kind of classification problems. Experimental results are presented on three well-known databases: Letter Recognition, Pen-Based Recognition of Handwritten Digits, and Face recognition databases. | |
| dc.description | Sociedad Argentina de Informática e Investigación Operativa | |
| dc.format | application/pdf | |
| dc.format | 152-164 | |
| dc.language | en | |
| dc.rights | http://creativecommons.org/licenses/by-nc-sa/4.0/ | |
| dc.rights | Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) | |
| dc.subject | Ciencias Informáticas | |
| dc.subject | Model compression | |
| dc.subject | Volterra-Neural Network | |
| dc.subject | Extended evaluation | |
| dc.title | Extended evaluation of the Volterra-Neural Network for model compression | |
| dc.type | Objeto de conferencia | |
| dc.type | Objeto de conferencia | |
