GitHub - vbosch/MachineLearning: A set of base classes in order to perfom training scripts for Neural Networs ( by means of SNNS) and SVM ( by means of SVM Light and SVM Class)

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A set of base classes in order to perfom training scripts for Neural Networs ( by means of SNNS) and SVM ( by means of SVM Light and SVM Class)

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Name		Name	Last commit message	Last commit date
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ARN_TRR_Report		ARN_TRR_Report
RN_TRR_Report		RN_TRR_Report
bin		bin
lib		lib
test		test
.DS_Store		.DS_Store
.gitignore		.gitignore
ARN-VicenteBoschCampos.pdf		ARN-VicenteBoschCampos.pdf
MachineLearning.tmproj		MachineLearning.tmproj
README		README
cover.jpg		cover.jpg
git		git

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This repository contains classes used in order to process data files and train
discriminative classifiers (Neural Networks and Support Vector Machines) in an automated manner.

For Neural Network training it uses the SNNS Software (http://www.ra.cs.uni-tuebingen.de/SNNS/).

For Support Vector Machines it uses SVM Light and SVM Multiclass owned by Thorsten Joachims (http://svmlight.joachims.org/).

Please see the bin directories for sample scripts used in order to train classifiers massively with the developed software.

Also ARN_TRR_Report and RN_TRR_Report contain documentation (generated in Latex) regarding the usage of the software.