# Support vector machine

## Papers overview

Semantic Scholar uses AI to extract papers important to this topic.

Highly Cited

2004

Highly Cited

2004

- IEEE Transactions on Systems, Man, andâ€¦
- 2004

An admissible support vector (SV) kernel (the wavelet kernel), by which we can construct a wavelet support vector machine (SVMâ€¦Â (More)

Is this relevant?

Highly Cited

2002

Highly Cited

2002

- IEEE Trans. Neural Networks
- 2002

Support vector machines (SVMs) were originally designed for binary classification. How to effectively extend it for multiclassâ€¦Â (More)

Is this relevant?

Highly Cited

2001

Highly Cited

2001

- Journal of Machine Learning Research
- 2001

Support vector machines have met with significant success in numerous real-world learning tasks. However, like most machineâ€¦Â (More)

Is this relevant?

Highly Cited

2001

Highly Cited

2001

- KDD
- 2001

Instead of a standard support vector machine (SVM) that classifies points by assigning them to one of two disjoint half-spacesâ€¦Â (More)

Is this relevant?

Highly Cited

2001

Highly Cited

2001

- Journal of Machine Learning Research
- 2001

An implicit Lagrangian for the dual of a simple reformulation of the standard quadratic program of a linear support vectorâ€¦Â (More)

Is this relevant?

Highly Cited

2001

Highly Cited

2001

- SDM
- 2001

Abstract An algorithm is proposed which generates a nonlinear kernel-based separating surface that requires as little as 1% of aâ€¦Â (More)

Is this relevant?

Highly Cited

2000

Highly Cited

2000

- 2000

This chapter describes a new algorithm for training Support Vector Machines: Sequential Minimal Optimization, or SMO. Training aâ€¦Â (More)

Is this relevant?

Highly Cited

2000

Highly Cited

2000

- NIPS
- 2000

An on-line recursive algorithm for training support vector machines, one vector at a time, is presented. Adiabatic incrementsâ€¦Â (More)

Is this relevant?

Highly Cited

1997

Highly Cited

1997

- CVPR
- 1997

We investigate the application of Support Vector Machines (SVMs) in computer vision. SVM is a learning technique developed by Vâ€¦Â (More)

Is this relevant?

Highly Cited

1995

Highly Cited

1995

- Machine Learning
- 1995

The support-vector network is a new learning machine for two-group classification problems. The machine conceptually implementsâ€¦Â (More)

Is this relevant?