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article · Europhysics Letters (EPL) · 1993

Statistical Mechanics of Unsupervised Learning

Michael L. Biehl, A Mietzner

Cited by 37Open access

Abstract

We study two different unsupervised learning strategies for a single-layer perceptron. The environment provides a set of unclassified training examples, which belong to two different classes, depending on their overlap with an N -dimensional concept vector. By means of a statistical-mechanics analysis, using the replica method, we investigate how well the perceptron infers the unknown structure from the input data.

Cite this paper

APA 7

Biehl, M. L., & Mietzner, A. (1993). Statistical Mechanics of Unsupervised Learning. Europhysics Letters (EPL), 24(5), 421–426. https://doi.org/10.1209/0295-5075/24/5/017

MLA 9

Biehl, Michael L., and A Mietzner. “Statistical Mechanics of Unsupervised Learning.” Europhysics Letters (EPL), vol. 24, no. 5, 1993, pp. 421–26, https://doi.org/10.1209/0295-5075/24/5/017.

Chicago

Biehl, Michael L., and A Mietzner. 1993. “Statistical Mechanics of Unsupervised Learning.” Europhysics Letters (EPL) 24 (5): 421–26. https://doi.org/10.1209/0295-5075/24/5/017.

Harvard

Biehl, M.L. and Mietzner, A. (1993) ‘Statistical Mechanics of Unsupervised Learning’, Europhysics Letters (EPL), 24(5), pp. 421–426. Available at: https://doi.org/10.1209/0295-5075/24/5/017.

BibTeX
@article{biehl1993statistical,
  title = {{Statistical Mechanics of Unsupervised Learning}},
  author = {Biehl, Michael L. and Mietzner, A},
  journal = {Europhysics Letters (EPL)},
  volume = {24},
  number = {5},
  pages = {421--426},
  year = {1993},
  doi = {10.1209/0295-5075/24/5/017}
}

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