The Peaking Phenomenon in Semi-supervised Learning

17 Oct 2016Jesse H. KrijtheMarco Loog

For the supervised least squares classifier, when the number of training objects is smaller than the dimensionality of the data, adding more data to the training set may first increase the error rate before decreasing it. This, possibly counterintuitive, phenomenon is known as peaking... (read more)

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