Ny tidsskriftsartikel: Strongly Agree or Strongly Disagree? : Rating Features in Support Vector Machines

Strongly Agree or Strongly Disagree? : Rating Features in Support Vector Machines

16/02/2016

In February 2016 casino 168 Professor and colleagues worked outÌýa newÌýpeer-reviewed journal article issuedÌýin .ÌýThe journal articleÌý- -Ìýdiscusses the following:ÌýInspired by discrete psychometric scales, which measure the extent to which a factor is in agreement with a statement, we propose the Discrete Level Support Vector Machine (DILSVM) where the feature scores can only take on a discrete number of values, defined by the so-called feature rating levels.

You can find the journal articleÌýhere.

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Sidst opdateret: Department of Economics // 08/10/2019