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NIPS papers

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由 G Marion 著作1994被引用 5 次 — The teacher is said to be an unrealisable rule, for the student in question, if the minimum generalisation error is non-zero. One can consider the Supervised ...

Hyperparameters Evidence and Generalisation for an ...

NIPS papers

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NIPS papers

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由 G Marion 著作1994被引用 5 次 — The teacher is said to be unrealisable because the student can never model it without error. Our model allows us to interpolate between the known case of a ...

Hyperparameters, evidence and generalisation for an unrealisable ...

ACM Digital Library

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ACM Digital Library

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Using a statistical mechanical formalism we calculate the evidence, generalisation error and consistency measure for a linear perceptron trained and tested ...

Hy er arameters E iden e and "eneralisation for an /nrealisa1le ...

Biomathematics and Statistics Scotland

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Biomathematics and Statistics Scotland

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Abstract. Using a statistical mechanical formalism we calculate the evidence, generalisation error and consistency measure for a linear percep-.

Glenn Marion, David Saad

Internet Archive Scholar

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Internet Archive Scholar

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Hyperparameters Evidence and Generalisation for an Unrealisable Rule. Glenn Marion, David Saad. 1994 Neural Information Processing Systems. Preserved Fulltext.

David Saad

Academia.edu

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Academia.edu

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Hyperparameters Evidence and Generalisation for an Unrealisable Rule. Abstract Using a statistical mechanical formalism we calculate the evidence ...

A statistical mechanical analysis of a Bayesian inference ...

IOPscience

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IOPscience

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由 G Marion 著作1995被引用 9 次 — Marion G and Saad D 1995 Hyperparameters, evidence and generalization for an unrealisable rule. Advances in Neural Information Processing Systems vol 7, ed ...

The generalisation cost of RAMnets - ACM Digital Library

ACM Digital Library

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ACM Digital Library

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1996年12月3日 — Hyperparameters, evidence and generalisation for an unrealisable rule. NIPS'94: Proceedings of the 7th International Conference on Neural ...

Data Dependent Hyperparameter Assignment

Springer

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Springer

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由 G Marion 著作1997被引用 1 次 — This is achieved by examining the finite size effects in hyperparameter assignment from the evidence procedure and its effect on generalisation. ... unrealizable ...