Author Identification Using Semi-supervised Learning. Notebook for PAN at CLEF 2011. Ioannis Kourtis and Efstathios Stamatatos. University of the Aegean. 83200 ...
This paper proposes an approach that combines two well-known representatives of these categories, namely the Common nGrams method and a Support Vector ...
Author Identification Using Semi-supervised Learning. Notebook for PAN at CLEF 2011. Ioannis Kourtis and Efstathios Stamatatos. University of the Aegean. 83200 ...
Most author identification methods are based on a fixed and stable training set. • There are many cases where we need to decide about.
Missing: Notebook CLEF 2011.
Author Identification Using Semi-supervised Learning - Notebook for PAN at CLEF 2011. Ioannis Kourtis and Efstathios Stamatatos. 12:00-12:15, Authorship ...
... CLEF2011wn-PAN-KourtisEt2011⫸Vol-1177/CLEF2011wn-PAN-Escalante2011. Author Identification Using Semi-supervised Learning - Notebook for PAN at CLEF 2011.
Author Identification Using Semi-supervised Learning - Notebook for PAN at CLEF 2011 · claim. 3, Download preprint from source, 255. A Language-Independent ...
Author Identification Using Semi-supervised Learning - Notebook for PAN at CLEF 2011. view. electronic edition @ ceur-ws.org (open access); electronic edition ...
Abstract. The proposed solution for authorship attribution combines a couple of the most important features identified in previous research in this domain.
Author identification models fall into two major categories according to the way they handle the training texts: profile-based models produce one ...