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Frank-Michael Schleif

Showing results (1-10 of 6) with videos related to

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Methods in Molecular Biology (Clifton, N.J.)|November 1, 2015
Protein Sequence Analysis by ProximitiesFrank-Michael Schleif
Neural Computation|August 28, 2015
Indefinite Proximity Learning: A ReviewFrank-Michael Schleif, Peter Tino
Artificial Intelligence in Medicine|September 10, 2008
Cancer informatics by prototype networks in mass spectrometryFrank-Michael Schleif, Thomas Villmann, Markus Kostrzewa, et al.
International Journal of Neural Systems|August 31, 2012
Linear time relational prototype based learningAndrej Gisbrecht, Bassam Mokbel, Frank-Michael Schleif, et al.
Briefings in Bioinformatics|March 13, 2008
Classification of mass-spectrometric data in clinical proteomics using learning vector quantization methodsThomas Villmann, Frank-Michael Schleif, Markus Kostrzewa, et al.
Neural Networks : the Official Journal of the International Neural Network Society|November 2, 2011
Limited Rank Matrix Learning, discriminative dimension reduction and visualizationKerstin Bunte, Petra Schneider, Barbara Hammer, et al.
Pageof 1

Showing results (1-10 of 6) with videos related to

Sort By:
Pageof 1
Methods in Molecular Biology (Clifton, N.J.)|November 1, 2015
Protein Sequence Analysis by ProximitiesFrank-Michael Schleif
Neural Computation|August 28, 2015
Indefinite Proximity Learning: A ReviewFrank-Michael Schleif, Peter Tino
Artificial Intelligence in Medicine|September 10, 2008
Cancer informatics by prototype networks in mass spectrometryFrank-Michael Schleif, Thomas Villmann, Markus Kostrzewa, et al.
International Journal of Neural Systems|August 31, 2012
Linear time relational prototype based learningAndrej Gisbrecht, Bassam Mokbel, Frank-Michael Schleif, et al.
Briefings in Bioinformatics|March 13, 2008
Classification of mass-spectrometric data in clinical proteomics using learning vector quantization methodsThomas Villmann, Frank-Michael Schleif, Markus Kostrzewa, et al.
Neural Networks : the Official Journal of the International Neural Network Society|November 2, 2011
Limited Rank Matrix Learning, discriminative dimension reduction and visualizationKerstin Bunte, Petra Schneider, Barbara Hammer, et al.
Pageof 1