Compactness Hypothesis, Potential Functions, and Rectifying Linear Space in Machine Learning

Author:

Mottl Vadim,Seredin Oleg,Krasotkina Olga

Publisher

Springer International Publishing

Reference54 articles.

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2. Arkadʹev, A.G., Braverman, E.M.: Computers and Pattern Recognition. Thompson Book Company, Washington (1967). 115 p.

3. Vapnik, V.: Statistical Learning Theory. Wiley, New York (1998)

4. Vapnik, V.: Estimation of Dependences Based on Empirical Data. Springer, New York (1982). https://doi.org/10.1007/0-387-34239-7

5. Duin, R.P.W.: Compactness and complexity of pattern recognition problems. In: Proceedings of International Symposium on Pattern Recognition “In Memoriam Pierre Devijver”, Brussels, B, 12 February, Royal Military Academy, pp. 124–128 (1999)

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