In the experimentation, 30 single page documents were considered. They are copies of letters sent by Olivetti. Six trials were performed by randomly sele…
DGP/2 is an improvement of DGP. It allows for additional parameters and automates the setting of the standard deviation parameter, which is not easily do…
generatorThis data file contains details of various nations and their flags. In this file the fields are separated by spaces (not commas). With this data you can …
classification, multivariateThe instances were drawn randomly from a database of 7 outdoor images. The images were handsegmented to create a classification for every pixel. Ea…
classification, multivariateThe examples are complete and noise free. The examples highly simplified the problem. The attributes do not fully describe all the factors affecting the d…
classification, multivariateThis DataSet is about the results of Statlog project. The project performed a comparative study between Statistical, Neural and Symbolic learning algorith…
classification, multivariateData was captured using a setup that consisted of: - Two Fifth Dimension Technologies (5DT) gloves, one right and one left - Two Ascension Flock-of-Bir…
classification, multivariate, time-seriesThe MONK's problem were the basis of a first international comparison of learning algorithms. The result of this comparison is summarized in "The MONK's P…
classification, multivariateHere is a summary of the domains that can be used currently with Prodigy. Each one is described briefly. For more information in any of them, read the RE…
domain-theoryFormat: Each observation concerns one university. In some cases, more information is provided about the attribute (e.g., units or domain). Some duplicates…
classification, multivariate