Regularization in Matrix Relevance Learning

Schneider P, Bunte K, Stiekema H, Hammer B, Villmann T, Biehl M (2010)
IEEE Transactions on Neural Networks 21(5): 831-840.

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Schneider P, Bunte K, Stiekema H, Hammer B, Villmann T, Biehl M. Regularization in Matrix Relevance Learning. IEEE Transactions on Neural Networks. 2010;21(5):831-840.
Schneider, P., Bunte, K., Stiekema, H., Hammer, B., Villmann, T., & Biehl, M. (2010). Regularization in Matrix Relevance Learning. IEEE Transactions on Neural Networks, 21(5), 831-840.
Schneider, P., Bunte, K., Stiekema, H., Hammer, B., Villmann, T., and Biehl, M. (2010). Regularization in Matrix Relevance Learning. IEEE Transactions on Neural Networks 21, 831-840.
Schneider, P., et al., 2010. Regularization in Matrix Relevance Learning. IEEE Transactions on Neural Networks, 21(5), p 831-840.
P. Schneider, et al., “Regularization in Matrix Relevance Learning”, IEEE Transactions on Neural Networks, vol. 21, 2010, pp. 831-840.
Schneider, P., Bunte, K., Stiekema, H., Hammer, B., Villmann, T., Biehl, M.: Regularization in Matrix Relevance Learning. IEEE Transactions on Neural Networks. 21, 831-840 (2010).
Schneider, Petra, Bunte, Kerstin, Stiekema, Han, Hammer, Barbara, Villmann, Thomas, and Biehl, Michael. “Regularization in Matrix Relevance Learning”. IEEE Transactions on Neural Networks 21.5 (2010): 831-840.
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Data provided by Europe PubMed Central.

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9 References

Data provided by Europe PubMed Central.

Experiments in colour texture analysis
Drimbarean, Pattern Recognition Letters 22(10), 2001
Generalized relevance learning vector quantization.
Hammer B, Villmann T., Neural Netw 15(8-9), 2002
PMID: 12416694
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
Distance learning in discriminative vector quantization.
Schneider P, Biehl M, Hammer B., Neural Comput 21(10), 2009
PMID: 19635012
Adaptive relevance matrices in learning vector quantization.
Schneider P, Biehl M, Hammer B., Neural Comput 21(12), 2009
PMID: 19764875
Incremental GRLVQ: Learning relevant features for 3D object recognition
KIETZMANN, Neurocomputing 71(13-15), 2008
Analysis of Tiling Microarray Data by Learning Vector Quantization and Relevance Learning
Biehl, 2007
Midpoint-Validation Method for Support Vector Machine Classification
TAMURA, IEICE Transactions on Information and Systems e91 d(7), 2008

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