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help for semi-supervised learning

NJE

Hello

I want to work with semi-supervised learning.

First of all, I'll do the feature selection with this type of learning.

But I did not find any solution to it.

Can anyone help me?

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Telcontar120

Can you further clarify what you are interested in for "semi-supervised learning"? That could encompass many different approaches.
There is an operator for one-class SVM in RapidMiner via the Anomaly Detection extension (free in the marketplace). This is a very popular algorithm for starting off with semi-supervised learning.

NJE

I want to do the feature selection using semi-monitoring learning.

can you help me?

I work for the weka team to continue working.

There is ambiguity in the choice of feature.

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