Deutsch
Login
Open Access
Home
Search
Browse
Publish
Help
Schließen
Author(s)
All words
At least one word
None of the words
Title
All words
At least one word
None of the words
Additional Person(s)
All words
At least one word
None of the words
Referee(s)
All words
At least one word
None of the words
Abstract
All words
At least one word
None of the words
Fulltext
All words
None of the words
Refine
Has Fulltext
no
(17)
Author
Biehl, Michael
(17)
Schleif, Frank-Michael
(17)
Villmann, Thomas
(10)
Schneider, Petra
(8)
Hammer, Barbara
(5)
Bunte, Kerstin
(3)
Haase, Sven
(3)
Münch, Maximilian
(3)
Mwebaze, Ernest
(2)
Raab, Christoph
(2)
Aduwo, Jennifer R.
(1)
Blanco-Claraco, José-Luis
(1)
Geweniger, Tina
(1)
Ghio, Alessandro
(1)
Gonzalez Monroy, Javier
(1)
González Jiménez, Javier
(1)
Keilwagen, Jens
(1)
Petkov, Nicolai
(1)
Quinn, John A.
(1)
Straat, Michiel
(1)
Strickert, Marc
(1)
Vellido, Alfredo
(1)
- less
Year of publication
2020
(3)
2016
(1)
2015
(2)
2012
(3)
2011
(2)
2010
(3)
2009
(2)
2008
(1)
Document Type
Conference Proceeding
(11)
Article
(6)
Language
English
(17)
Is part of the Bibliography
no
(13)
yes
(4)
Institute
Fakultät Informatik und Wirtschaftsinformatik
(17)
17
search hits
1
to
17
Export
BibTeX
CSV
RIS
XML
50
10
20
50
100
Sort by
Year
Year
Title
Title
Author
Author
Data-Driven Supervised Learning for Life Science Data
(2020)
Münch, Maximilian
;
Raab, Christoph
;
Biehl, Michael
;
Schleif, Frank-Michael
Generalized matrix learning vector quantizer for the analysis of spectral data
(2008)
Schneider, Petra
;
Schleif, Frank-Michael
;
Villmann, Thomas
;
Biehl, Michael
Divergence based Learning Vector Quantization
(2010)
Mwebaze, Ernest
;
Schneider, Petra
;
Schleif, Frank-Michael
;
Haase, Sven
;
Villmann, Thomas
;
Biehl, Michael
Multivariate class labeling in Robust Soft LVQ
(2011)
Schneider, Petra
;
Geweniger, Tina
;
Schleif, Frank-Michael
;
Biehl, Michael
;
Villmann, Thomas
Structure Preserving Encoding of Non-euclidean Similarity Data
(2020)
Münch, Maximilian
;
Raab, Christoph
;
Biehl, Michael
;
Schleif, Frank-Michael
Generalized Derivative Based Kernelized Learning Vector Quantization
(2010)
Schleif, Frank-Michael
;
Villmann, Thomas
;
Hammer, Barbara
;
Schneider, Petra
;
Biehl, Michael
The Mathematics of Divergence Based Online Learning in Vector Quantization
(2010)
Villmann, Thomas
;
Haase, Sven
;
Schleif, Frank-Michael
;
Hammer, Barbara
;
Biehl, Michael
Matrix Metric Adaptation Linear Discriminant Analysis of Biomedical Data
(2009)
Strickert, Marc
;
Keilwagen, Jens
;
Schleif, Frank-Michael
;
Villmann, Thomas
;
Biehl, Michael
Complex-Valued Embeddings of Generic Proximity Data
(2020)
Münch, Maximilian
;
Straat, Michiel
;
Biehl, Michael
;
Schleif, Frank-Michael
Adaptive learning for complex-valued data
(2012)
Bunte, Kerstin
;
Schleif, Frank-Michael
;
Biehl, Michael
Odor recognition in robotics applications by discriminative time-series modeling
(2016)
Schleif, Frank-Michael
;
Hammer, Barbara
;
Gonzalez Monroy, Javier
;
González Jiménez, Javier
;
Blanco-Claraco, José-Luis
;
Biehl, Michael
;
Petkov, Nicolai
Stationarity of Matrix Relevance LVQ
(2015)
Biehl, Michael
;
Hammer, Barbara
;
Schleif, Frank-Michael
;
Schneider, Petra
;
Villmann, Thomas
Developments in computational intelligence and machine learning
(2015)
Biehl, Michael
;
Ghio, Alessandro
;
Schleif, Frank-Michael
Limited Rank Matrix Learning, discriminative dimension reduction and visualization
(2012)
Bunte, Kerstin
;
Schneider, Petra
;
Hammer, Barbara
;
Schleif, Frank-Michael
;
Villmann, Thomas
;
Biehl, Michael
Large margin linear discriminative visualization by Matrix Relevance Learning
(2012)
Biehl, Michael
;
Bunte, Kerstin
;
Schleif, Frank-Michael
;
Schneider, Petra
;
Villmann, Thomas
Divergence-based classification in learning vector quantization
(2011)
Mwebaze, Ernest
;
Schneider, Petra
;
Schleif, Frank-Michael
;
Aduwo, Jennifer R.
;
Quinn, John A.
;
Haase, Sven
;
Villmann, Thomas
;
Biehl, Michael
Advances in machine learning and computational intelligence
(2009)
Schleif, Frank-Michael
;
Biehl, Michael
;
Vellido, Alfredo
1
to
17
Verstanden ✔
Diese Webseite verwendet technisch erforderliche Session-Cookies. Durch die weitere Nutzung der Webseite stimmen Sie diesem zu.
Unsere Datenschutzerklärung finden Sie hier.