Linear Time Relational Prototype Based Learning
Gisbrecht A, Mokbel B, Schleif F-M, Zhu X, Hammer B (2012)
International Journal of Neural Systems 22(05): 1250021.
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Autor*in
Einrichtung
Erscheinungsjahr
2012
Zeitschriftentitel
International Journal of Neural Systems
Band
22
Ausgabe
05
Art.-Nr.
1250021
ISSN
0129-0657
eISSN
1793-6462
Page URI
https://pub.uni-bielefeld.de/record/2625232
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Gisbrecht A, Mokbel B, Schleif F-M, Zhu X, Hammer B. Linear Time Relational Prototype Based Learning. International Journal of Neural Systems. 2012;22(05): 1250021.
Gisbrecht, A., Mokbel, B., Schleif, F. - M., Zhu, X., & Hammer, B. (2012). Linear Time Relational Prototype Based Learning. International Journal of Neural Systems, 22(05), 1250021. https://doi.org/10.1142/S0129065712500219
Gisbrecht, Andrej, Mokbel, Bassam, Schleif, Frank-Michael, Zhu, Xibin, and Hammer, Barbara. 2012. “Linear Time Relational Prototype Based Learning”. International Journal of Neural Systems 22 (05): 1250021.
Gisbrecht, A., Mokbel, B., Schleif, F. - M., Zhu, X., and Hammer, B. (2012). Linear Time Relational Prototype Based Learning. International Journal of Neural Systems 22:1250021.
Gisbrecht, A., et al., 2012. Linear Time Relational Prototype Based Learning. International Journal of Neural Systems, 22(05): 1250021.
A. Gisbrecht, et al., “Linear Time Relational Prototype Based Learning”, International Journal of Neural Systems, vol. 22, 2012, : 1250021.
Gisbrecht, A., Mokbel, B., Schleif, F.-M., Zhu, X., Hammer, B.: Linear Time Relational Prototype Based Learning. International Journal of Neural Systems. 22, : 1250021 (2012).
Gisbrecht, Andrej, Mokbel, Bassam, Schleif, Frank-Michael, Zhu, Xibin, and Hammer, Barbara. “Linear Time Relational Prototype Based Learning”. International Journal of Neural Systems 22.05 (2012): 1250021.
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A cluster merging method for time series microarray with production values.
Chira C, Sedano J, Camara M, Prieto C, Villar JR, Corchado E., Int J Neural Syst 24(6), 2014
PMID: 25081426
Chira C, Sedano J, Camara M, Prieto C, Villar JR, Corchado E., Int J Neural Syst 24(6), 2014
PMID: 25081426
33 References
Daten bereitgestellt von Europe PubMed Central.
AUTHOR UNKNOWN, 0
AUTHOR UNKNOWN, 0
AUTHOR UNKNOWN, 0
AUTHOR UNKNOWN, 0
AUTHOR UNKNOWN, 0
AUTHOR UNKNOWN, 0
Foreground detection in video sequences with probabilistic self-organizing maps.
Lopez-Rubio E, Luque-Baena RM, Dominguez E., Int J Neural Syst 21(3), 2011
PMID: 21656925
Lopez-Rubio E, Luque-Baena RM, Dominguez E., Int J Neural Syst 21(3), 2011
PMID: 21656925
Adaptive relevance matrices in learning vector quantization.
Schneider P, Biehl M, Hammer B., Neural Comput 21(12), 2009
PMID: 19764875
Schneider P, Biehl M, Hammer B., Neural Comput 21(12), 2009
PMID: 19764875
Urine steroid metabolomics as a biomarker tool for detecting malignancy in adrenal tumors.
Arlt W, Biehl M, Taylor AE, Hahner S, Libe 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
Arlt W, Biehl M, Taylor AE, Hahner S, Libe 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
AUTHOR UNKNOWN, 0
AUTHOR UNKNOWN, 0
AUTHOR UNKNOWN, 0
AUTHOR UNKNOWN, 0
AUTHOR UNKNOWN, 0
AUTHOR UNKNOWN, 0
On the equivalence between kernel self-organising maps and self-organising mixture density networks.
Yin H., Neural Netw 19(6-7), 2006
PMID: 16759835
Yin H., Neural Netw 19(6-7), 2006
PMID: 16759835
AUTHOR UNKNOWN, 0
Batch and median neural gas.
Cottrell M, Hammer B, Hasenfuss A, Villmann T., Neural Netw 19(6-7), 2006
PMID: 16782307
Cottrell M, Hammer B, Hasenfuss A, Villmann T., Neural Netw 19(6-7), 2006
PMID: 16782307
How to make large self-organizing maps for nonvectorial data.
Kohonen T, Somervuo P., Neural Netw 15(8-9), 2002
PMID: 12416685
Kohonen T, Somervuo P., Neural Netw 15(8-9), 2002
PMID: 12416685
A stochastic self-organizing map for proximity data.
Graepel T, Obermayer K., Neural Comput 11(1), 1999
PMID: 9950727
Graepel T, Obermayer K., Neural Comput 11(1), 1999
PMID: 9950727
Self-organizing maps and clustering methods for matrix data.
Seo S, Obermayer K., Neural Netw 17(8-9), 2004
PMID: 15555862
Seo S, Obermayer K., Neural Netw 17(8-9), 2004
PMID: 15555862
AUTHOR UNKNOWN, 0
Topographic mapping of large dissimilarity data sets.
Hammer B, Hasenfuss A., Neural Comput 22(9), 2010
PMID: 20569180
Hammer B, Hasenfuss A., Neural Comput 22(9), 2010
PMID: 20569180
AUTHOR UNKNOWN, 0
Williams, Adv. Neural Inform. Process. Syst. 13(), 0
Biehl, J. Mach. Learn. Res. 8(), 0
Chen, J. Mach. Learn. Res. 10(), 0
AUTHOR UNKNOWN, 0
Clustered Nystrom method for large scale manifold learning and dimension reduction.
Zhang K, Kwok JT., IEEE Trans Neural Netw 21(10), 2010
PMID: 20805054
Zhang K, Kwok JT., IEEE Trans Neural Netw 21(10), 2010
PMID: 20805054
AUTHOR UNKNOWN, 0
Maier, Nat. Methods 3(), 0
ExPASy: The proteomics server for in-depth protein knowledge and analysis.
Gasteiger E, Gattiker A, Hoogland C, Ivanyi I, Appel RD, Bairoch A., Nucleic Acids Res. 31(13), 2003
PMID: 12824418
Gasteiger E, Gattiker A, Hoogland C, Ivanyi I, Appel RD, Bairoch A., Nucleic Acids Res. 31(13), 2003
PMID: 12824418
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