publication . Preprint . Article . 2005

Analysis of On-Line Learning when a Moving Teacher Goes around a True Teacher

Seiji Miyoshi; Masato Okada;
Open Access English
  • Published: 07 Sep 2005
Abstract
Comment: 13 pages, 8 figures
Subjects
arXiv: Physics::Physics EducationComputer Science::Computers and SocietyComputer Science::Machine Learning
ACM Computing Classification System: ComputingMilieux_COMPUTERSANDEDUCATION
free text keywords: Physics - Physics and Society, Condensed Matter - Disordered Systems and Neural Networks, Generalization error, Perceptron, Statistical mechanics, Learning machine, Artificial intelligence, business.industry, business, Physics, Artificial neural network, Functional decomposition, Condensed matter physics

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[6] Hara, K. and Okada, M., “Ensemble learning of linear perceptron; Online learning theory”, cond-mat/0402069.

[7] Miyoshi, S., Hara, K. and Okada, M., “Analysis of ensemble learning using simple perceptrons based on online learning theory”, Phys. Rev. E, 71, 036116. March 2005.

[8] Nishimori, H., “Statistical Physics of Spin Glasses and Information Processing: An Introduction,” Oxford University Press, (2001)

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[10] Inoue, J., Nishimori, H. and Kabashima, Y., “A simple perceptron that learns non-monotonic rules,” cond-mat/9708096 (1997). [OpenAIRE]

[11] Miyoshi, S., Hara, K. and Okada, M., “Analysis of ensemble learning for committee machine teacher”, Proc. The Seventh Workshop on Information-Based Induction Sciences, pp.178-185, (2004) (in Japanese).

[12] Miyoshi, S., Hara, K. and Okada, M., “Analysis of ensemble learning for non-monotonic teacher”, IEICE Technical Report, NC2004-214, pp.123-128, (2005) (in Japanese).

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