Supervised data transformation and dimensionality reduction with a 3-layer multi-layer perceptron for classification problems

Author:

Valls José M.,Aler Ricardo,Galván Inés M.,Camacho DavidORCID

Funder

Ministerio de Ciencia e Innovación

Spanish Ministry of Science and Education

Publisher

Springer Science and Business Media LLC

Subject

General Computer Science

Reference29 articles.

1. Aissa FB et al (2017) Unsupervised features extraction using a multi-view self organizing map for image classification. In: 2017 IEEE/ACS 14th international conference on computer systems and applications (AICCSA). IEEE

2. Aler R, Valls JM, Galván IM, Camacho D (2020) nntrf: supervised data transformation by means of neural network hidden layers. R package version, no 1, pp 3. https://CRAN.R-project.org/package=nntrf

3. Aswolinskiy W (2018) Learning in the model space of neural networks. Universitat Bielefeld, Bielefeld

4. Bischl B, Lang M, Kotthoff L, Schiffner J, Richter J, Studerus E, Casalicchio G, Jones ZM (2016) mlr: machine learning in r. J Mach Learn Res 17(1):5938–5942

5. Bluche T, Ney H, Kermorvant C (2013) Feature extraction with convolutional neural networks for handwritten word recognition. In: 2013 12th international conference on document analysis and recognition. IEEE, pp 285–289

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