Cancer Informatics by Prototype-networks in Mass Spectrometry

Schleif F-M, Villmann T, Kostrzewa M, Hammer B, Gammerman A (2009)
Artificial Intelligence in Medicine 45(2-3): 215-228.

Journal Article | Published | English

No fulltext has been uploaded

Author
; ; ; ;
Publishing Year
ISSN
PUB-ID

Cite this

Schleif F-M, Villmann T, Kostrzewa M, Hammer B, Gammerman A. Cancer Informatics by Prototype-networks in Mass Spectrometry. Artificial Intelligence in Medicine. 2009;45(2-3):215-228.
Schleif, F. - M., Villmann, T., Kostrzewa, M., Hammer, B., & Gammerman, A. (2009). Cancer Informatics by Prototype-networks in Mass Spectrometry. Artificial Intelligence in Medicine, 45(2-3), 215-228.
Schleif, F. - M., Villmann, T., Kostrzewa, M., Hammer, B., and Gammerman, A. (2009). Cancer Informatics by Prototype-networks in Mass Spectrometry. Artificial Intelligence in Medicine 45, 215-228.
Schleif, F.-M., et al., 2009. Cancer Informatics by Prototype-networks in Mass Spectrometry. Artificial Intelligence in Medicine, 45(2-3), p 215-228.
F.-M. Schleif, et al., “Cancer Informatics by Prototype-networks in Mass Spectrometry”, Artificial Intelligence in Medicine, vol. 45, 2009, pp. 215-228.
Schleif, F.-M., Villmann, T., Kostrzewa, M., Hammer, B., Gammerman, A.: Cancer Informatics by Prototype-networks in Mass Spectrometry. Artificial Intelligence in Medicine. 45, 215-228 (2009).
Schleif, Frank-Michael, Villmann, T., Kostrzewa, M., Hammer, Barbara, and Gammerman, A. “Cancer Informatics by Prototype-networks in Mass Spectrometry”. Artificial Intelligence in Medicine 45.2-3 (2009): 215-228.
This data publication is cited in the following publications:
This publication cites the following data publications:

38 References

Data provided by Europe PubMed Central.

;Neural-gas' network for vector quantization and its application to time-series prediction.
Martinetz TM, Berkovich SG, Schulten KJ., IEEE Trans Neural Netw 4(4), 1993
PMID: 18267757
On the generalization ability of GRLVQ networks
Hammer, Neural Processing Letters 21(2), 2005
Generalized relevance learning vector quantization
Hammer, Neural Networks 15(8–9), 2002
Generalizations of the lp norm for time series and its application to self-organizing maps
Lee, 2005

Hastie, 2001
Reliability parameters to improve combination strategies in multi-expert systems
Cordella, Pattern Analysis and Applications 2(3), 1999
To reject or not to reject: that is the question: an answer in case of neural classifiers, IEEE Transactions on Systems
de, Man and Cybernetics Part C 30(1), 2000

AUTHOR UNKNOWN, 0

AUTHOR UNKNOWN, 0
Prediction algorithms and confidence measures based on algorithmic randomness theory
Gammerman, Theoretical Computer Science 287(), 2002
Visualization of fuzzy information in fuzzy-classification for image sagmentation using MDS
Villmann, 2007
Prediction error estimation: a comparison of resampling methods.
Molinaro AM, Simon R, Pfeiffer RM., Bioinformatics 21(15), 2005
PMID: 15905277

AUTHOR UNKNOWN, 0

Export

0 Marked Publications

Open Data PUB

Web of Science

View record in Web of Science®

Sources

PMID: 18778925
PubMed | Europe PMC

Search this title in

Google Scholar