by Holger Schöner
Reference:
Working with real world datasets: preprocessing and prediction with large incomplete and heterogeneous datasets (Holger Schöner), PhD thesis, Technical University of Berlin, School of Electrical Engineering and Computer Sciences, 2004. (Published: Print on Demand)
Bibtex Entry:
@phdthesis{schoner_working_2004,
title = {Working with real world datasets: preprocessing and prediction with large incomplete and heterogeneous datasets},
url = {http://opus.kobv.de/tuberlin/volltexte/2005/755/},
school = {Technical University of Berlin, School of Electrical Engineering and Computer Sciences},
author = {Schöner, Holger},
month = dec,
year = {2004},
note = {Published: Print on Demand},
keywords = {blind source separation, heterogeneous features, missing values, optical imaging, real world datasets, thesis},
file = {download/publications/Schoener2004_Phd.pdf}
}