Adaptive relevance matrices in learning vector quantization

Schneider P, Biehl M, Hammer B (2009)
Neural Computation 21(12): 3532-3561.

Zeitschriftenaufsatz | Veröffentlicht | Englisch
 
Download
Es wurden keine Dateien hochgeladen. Nur Publikationsnachweis!
DOI
Autor*in
Schneider, P.; Biehl, M.; Hammer, BarbaraUniBi
Einrichtung
Technische Fakultät > AG Machine Learning
Erscheinungsjahr
2009
Zeitschriftentitel
Neural Computation
Band
21
Ausgabe
12
Seite(n)
3532-3561
ISSN
0899-7667
eISSN
1530-888X
Page URI
https://pub.uni-bielefeld.de/record/1994004

Zitieren

Schneider P, Biehl M, Hammer B. Adaptive relevance matrices in learning vector quantization. Neural Computation. 2009;21(12):3532-3561.
Schneider, P., Biehl, M., & Hammer, B. (2009). Adaptive relevance matrices in learning vector quantization. Neural Computation, 21(12), 3532-3561. https://doi.org/10.1162/neco.2009.11-08-908
Schneider, P., Biehl, M., and Hammer, Barbara. 2009. “Adaptive relevance matrices in learning vector quantization”. Neural Computation 21 (12): 3532-3561.
Schneider, P., Biehl, M., and Hammer, B. (2009). Adaptive relevance matrices in learning vector quantization. Neural Computation 21, 3532-3561.
Schneider, P., Biehl, M., & Hammer, B., 2009. Adaptive relevance matrices in learning vector quantization. Neural Computation, 21(12), p 3532-3561.
P. Schneider, M. Biehl, and B. Hammer, “Adaptive relevance matrices in learning vector quantization”, Neural Computation, vol. 21, 2009, pp. 3532-3561.
Schneider, P., Biehl, M., Hammer, B.: Adaptive relevance matrices in learning vector quantization. Neural Computation. 21, 3532-3561 (2009).
Schneider, P., Biehl, M., and Hammer, Barbara. “Adaptive relevance matrices in learning vector quantization”. Neural Computation 21.12 (2009): 3532-3561.

18 Zitationen in Europe PMC

Daten bereitgestellt von Europe PubMed Central.

Identifying HIV Associated Neurocognitive Disorder Using Large-Scale Granger Causality Analysis on Resting-State Functional MRI.
DSouza AM, Abidin AZ, Leistritz L, Wismüller A., Proc SPIE Int Soc Opt Eng 10133(), 2017
PMID: 29167591
Investigating Changes in Resting-State Connectivity from Functional MRI Data in Patients with HIV Associated Neurocognitive Disorder Using MCA and Machine Learning.
DSouza AM, Abidin AZ, Wismüller A., Proc SPIE Int Soc Opt Eng 10137(), 2017
PMID: 29170578
Ordinal regression based on learning vector quantization.
Tang F, Tiňo P., Neural Netw 93(), 2017
PMID: 28552507
Expression of chemokines CXCL4 and CXCL7 by synovial macrophages defines an early stage of rheumatoid arthritis.
Yeo L, Adlard N, Biehl M, Juarez M, Smallie T, Snow M, Buckley CD, Raza K, Filer A, Scheel-Toellner D., Ann Rheum Dis 75(4), 2016
PMID: 25858640
Prototype-based models in machine learning.
Biehl M, Hammer B, Villmann T., Wiley Interdiscip Rev Cogn Sci 7(2), 2016
PMID: 26800334
Dimensionality-Dependent Generalization Bounds for k-Dimensional Coding Schemes.
Liu T, Tao D, Xu D., Neural Comput 28(10), 2016
PMID: 27391679
Classifying Cognitive Profiles Using Machine Learning with Privileged Information in Mild Cognitive Impairment.
Alahmadi HH, Shen Y, Fouad S, Luft CD, Bentham P, Kourtzi Z, Tino P., Front Comput Neurosci 10(), 2016
PMID: 27909405
Inter-species prediction of protein phosphorylation in the sbv IMPROVER species translation challenge.
Biehl M, Sadowski P, Bhanot G, Bilal E, Dayarian A, Meyer P, Norel R, Rhrissorrakrai K, Zeller MD, Hormoz S., Bioinformatics 31(4), 2015
PMID: 24994890
Integrating dimension reduction and out-of-sample extension in automated classification of ex vivo human patellar cartilage on phase contrast X-ray computed tomography.
Nagarajan MB, Coan P, Huber MB, Diemoz PC, Wismüller A., PLoS One 10(2), 2015
PMID: 25710875
Supervised Variational Relevance Learning, An Analytic Geometric Feature Selection with Applications to Omic Datasets.
Boareto M, Cesar J, Leite VB, Caticha N., IEEE/ACM Trans Comput Biol Bioinform 12(3), 2015
PMID: 26357281
Classification of small lesions on dynamic breast MRI: Integrating dimension reduction and out-of-sample extension into CADx methodology.
Nagarajan MB, Huber MB, Schlossbauer T, Leinsinger G, Krol A, Wismüller A., Artif Intell Med 60(1), 2014
PMID: 24355697
Analysis of flow cytometry data by matrix relevance learning vector quantization.
Biehl M, Bunte K, Schneider P., PLoS One 8(3), 2013
PMID: 23527184
Incorporating privileged information through metric learning.
Fouad S, Tino P, Raychaudhury S, Schneider P., IEEE Trans Neural Netw Learn Syst 24(7), 2013
PMID: 24808523
Adaptive metric learning vector quantization for ordinal classification.
Fouad S, Tino P., Neural Comput 24(11), 2012
PMID: 22920847
Linear time relational prototype based learning.
Gisbrecht A, Mokbel B, Schleif FM, Zhu X, Hammer B., Int J Neural Syst 22(5), 2012
PMID: 22931439
Texture feature ranking with relevance learning to classify interstitial lung disease patterns.
Huber MB, Bunte K, Nagarajan MB, Biehl M, Ray LA, Wismüller A., Artif Intell Med 56(2), 2012
PMID: 23010586
Urine steroid metabolomics as a biomarker tool for detecting malignancy in adrenal tumors.
Arlt W, Biehl M, Taylor AE, Hahner S, Libé R, Hughes BA, Schneider P, Smith DJ, Stiekema H, Krone N, Porfiri E, Opocher G, Bertherat J, Mantero F, Allolio B, Terzolo M, Nightingale P, Shackleton CH, Bertagna X, Fassnacht M, Stewart PM., J Clin Endocrinol Metab 96(12), 2011
PMID: 21917861
Regularization in matrix relevance learning.
Schneider P, Bunte K, Stiekema H, Hammer B, Villmann T, Biehl M., IEEE Trans Neural Netw 21(5), 2010
PMID: 20236882

25 References

Daten bereitgestellt von Europe PubMed Central.


AUTHOR UNKNOWN, 0

AUTHOR UNKNOWN, 0

AUTHOR UNKNOWN, 0

Biehl, Journal of Machine Learning Research 8(), 2007

Bojer, 2001

Bunte, 2008

Crammer, 2003

Duda, 2000

AUTHOR UNKNOWN, 0
Performance analysis of LVQ algorithms: a statistical physics approach.
Ghosh A, Biehl M, Hammer B., Neural Netw 19(6-7), 2006
PMID: 16781845

Hammer, 2005

Hammer, 2004

AUTHOR UNKNOWN, 0

AUTHOR UNKNOWN, 0
Generalized relevance learning vector quantization.
Hammer B, Villmann T., Neural Netw 15(8-9), 2002
PMID: 12416694

AUTHOR UNKNOWN, 0

AUTHOR UNKNOWN, 0

Neural, 2002

Newman, 1998

Prudent, Electronic Letters on Computer Vision and Image Analysis 5(2), 2005

Rätsch, 2004

Sato, 1996
Soft nearest prototype classification.
Seo S, Bode M, Obermayer K., IEEE Trans Neural Netw 14(2), 2003
PMID: 18238021
Soft learning vector quantization.
Seo S, Obermayer K., Neural Comput 15(7), 2003
PMID: 12816567

Weinberger, 2006
Export

Markieren/ Markierung löschen
Markierte Publikationen

Open Data PUB

Web of Science

Dieser Datensatz im Web of Science®
Quellen

PMID: 19764875
PubMed | Europe PMC

Suchen in

Google Scholar