# Structural risk minimization

## Papers overview

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2010

2010

- Encyclopedia of Machine Learning
- 2010

Structural risk minimization (SRM) (Vapnik and Chervonenkis 1974) is an inductive principle for model selection used for learning… (More)

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2010

2010

- 2010

Statistical Learning Theory is commonly regarded as a sound framework within which we handle a variety of learning problems in… (More)

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2006

2006

- International Conference on Machine Learning and…
- 2006

In this paper, the idea of the structural risk minimization (SRM) on credibility space is presented; two theorems are proven to… (More)

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2002

2002

- NIPS
- 2002

Classificationtreesareoneof themostpopulartypesof classifiers,with easeof implementationand interpretationbeingamongtheir… (More)

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2001

2000

2000

- 2000

Estimation of regression functions from bounded, independent and identically distributed data is considered. Motivated by Vapnik… (More)

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1998

Highly Cited

1998

- IEEE Trans. Information Theory
- 1998

The paper introduces some generalizations of Vapnik’s method of structural risk minimisation (SRM). As well as making explicit… (More)

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1997

1997

- NIPS
- 1997

Perceptron Decision Trees also known as Linear Machine DTs etc are analysed in order that data dependent Structural Risk… (More)

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Highly Cited

1991

Highly Cited

1991

- NIPS
- 1991

The method of Structural Risk Minimization refers to tuning the capacity of the classifier to the available amount of training… (More)

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Highly Cited

1991

Highly Cited

1991

- NIPS
- 1991

Learning is posed as a problem of function estimation, for which two principles of solution are considered: empirical risk… (More)

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