R contributions

I am in the process of testing various R packages on synthetic data sets. The advantage of this approach is that statistical characteristics of the data are known in advance and that we can create as much training and test data as we need. My reports and R code are published here.

Here is a link to a research note, 'Experiments with Neural Networks using R',that I wrote . neural.pdf updated December 15 2016 (added k-nn and binary decision tree). Here is the example code that I used to create the above report. RSNNS_examples.zip

Here is a link to a research note 'An Empirical Study of Classifiers for Categorical and Binary Data'. binarydata.pdf updated July 27 2017. Some of the code used to prepare this paper is available from binary_examples.zip.

This link studies the statistics of midi files. A Statistical Analysis of a Midi File Database.


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This page was last updated on August 22 2018.