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MultiViL

beta
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Description

MultiViL is a tool for multi-view learning. It supports four classifiers (KNN, Naive-Bayes, Rochio and SVM-Perf), four view combining methods (Majority Voting, Borda Count, Dempster-Shafer theory of evidence and PSO) and provides many analisys tools.

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Additional Project Details

Languages

English

Intended Audience

Developers, Education, End Users/Desktop, Science/Research

User Interface

Java Swing

Programming Language

C, C++, Java

Registered

2010-06-30
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