# Statistical learning theory

## Papers overview

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Highly Cited

2011

Highly Cited

2011

- Inductive Logic
- 2011

Statistical learning theory provides the theoretical basis for many of todayâ€™s machine learning algorithms and is arguably one ofâ€¦Â (More)

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Highly Cited

2008

Highly Cited

2008

- STOC
- 2008

We demonstrate that, ignoring computational constraints, it is possible to release privacy-preserving databases that are usefulâ€¦Â (More)

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2007

2007

- 2007

Game: 20-Questions â€“ I think of object f â€“ For i = 1 to 20 â€¢ You get to ask 20 yes/no questions about f and I have to answerâ€¦Â (More)

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Highly Cited

2005

Highly Cited

2005

- Computer Networks
- 2005

In this paper, techniques and algorithms developed in the framework of statistical learning theory are analyzed and applied toâ€¦Â (More)

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Review

2003

Review

2003

- Advanced Lectures on Machine Learning
- 2003

The goal of statistical learning theory is to study, in a statistical framework, the properties of learning algorithms. Inâ€¦Â (More)

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Highly Cited

2002

Highly Cited

2002

- Machine Learning Summer School
- 2002

2 Glivenko-Cantelli Classes 5 2.1 The classical approach . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 2.1.1 Theâ€¦Â (More)

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Highly Cited

2001

Highly Cited

2001

- Automatica
- 2001

By now it is known that several problems in the robustness analysis and synthesis of control systems are NP-complete or NP-hardâ€¦Â (More)

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Highly Cited

2000

Highly Cited

2000

- Statistics for Engineering and Informationâ€¦
- 2000

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Highly Cited

1998

Highly Cited

1998