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Query by committee

Seung, H. S., Opper, M. and Sompolinsky, H.

Proceedings of the Fifth Annual Conference on Computational Learning Theory. ACM Press, 287-294. 1992

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Estimating Average - Case Learning Curves Using Bayesian, Statistical Physics and VC Dimension Methods

Haussler, D., Kearns, M., Opper, M. and Schapire, R. E.

Advances in Neural Information Processing Systems 4. Morgan Kaufmann, 855–862. 1992

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Calculation of the Learning Curve of Bayes Optimal Classification Algorithm for Learning a Perceptron With Noise

Opper, M. and Haussler, D.

Proceedings of the Fourth Annual Conference on Computational Learning Theory. Morgan Kaufmann, 75–87. 1991

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Statistical Mechanics of Learning in Neural Network Models

Opper, M., Diederich, S. and Anlauf, J. K.

Neural Networks from Models to Applications. I.D.S.E.T., Paris, 235–243. 1988

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Learning by Error Correction in Spin Glass Models of Neural Networks

Diederich, S., Opper, M., Henkel, R. D. and Kinzel, W.

Computer Simulations in Brain Science. Cambridge University Press. 1988

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Resonant and Quasiclassical Excitations of Solitons in the Alpha- Helix

Bolterauer, H., Henkel, R. D. and Opper, M.

Structure, Coherence and Chaos in Dynamical Systems. Manchester University Press, 625–631. 1986

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A Tractable Approximation to Optimal Point Process Filtering: Application to Neural Encoding

Harel, Y., Meir, R. and Opper, M.

Advances in Neural Information Processing Systems 28, 1594–1602. 2015

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Optimal Neural Codes for Control and Estimation

Susemihl, A. K., Meir, R. and Opper, M.

Advances in Neural Information Processing Systems 27. Curran Associates, Inc., 2987–2995. 2014

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