Tree-based generational feature selection in medical applications

Author:

Wiesław Paja

Publisher

Elsevier BV

Subject

General Engineering

Reference16 articles.

1. Applied Predictive Modeling;Kuhn,2013

2. Application of high-dimensional feature selection: evaluation for genomic prediction in man;Bermingham;Scientific Reports,2015

3. Rudnicki W.R., Wrzesień M. and Paja W.: All relevant feature selection methods and applications, In: U. Stańczyk, L. Jain (Eds), Feature selection for data and pattern recognition, Studies in Computational Intelligence, vol. 584, Springer-Verlag, Germany, (2015), pp. 11-28.

4. Detecting multivariate differentially expressed genes;Nilsson;BMC Bioinformatics,2007

5. Różycki, P., Kolbusz, J., Bartczak, T., Wilamowski, B., ”Using Parity-N Problems as a Way to Compare Abilities of Shallow”, Very Shallow and Very Deep Architectures, Lecture Notes in Computer Science, vol. 9119, ICAISC 2015, Zakopane, pp. 112-122

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