Skip to search formSkip to main content

You are currently offline. Some features of the site may not work correctly.

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

2017

2017

Sliced Inverse Regression (SIR) has been extensively used to reduce the dimension of the predictor space before performing… Expand

Is this relevant?

2009

2009

Sliced inverse regression (SIR) is a renowned dimension reduction method for finding an effective low-dimensional linear subspace… Expand

Is this relevant?

2008

2008

We develop a supervised dimension reduction method that integrates the idea of localization from manifold learning with the… Expand

Is this relevant?

Highly Cited

2008

Highly Cited

2008

A new dimension-reduction method involving slicing the region of the response and applying local kernel regression to each slice… Expand

Is this relevant?

Highly Cited

2006

Highly Cited

2006

Sliced inverse regression is a promising method for the estimation of the central dimension-reduction subspace (CDR space) in… Expand

Is this relevant?

2006

2006

Sliced inverse regression (SIR) is an innovative and effective method for dimension reduction and data visualization of high… Expand

Is this relevant?

Highly Cited

2005

Highly Cited

2005

A family of dimension-reduction methods, the inverse regression (IR) family, is developed by minimizing a quadratic objective… Expand

Is this relevant?

Highly Cited

1995

Highly Cited

1991

Highly Cited

1991

Abstract Modern advances in computing power have greatly widened scientists' scope in gathering and investigating information… Expand

Is this relevant?

Highly Cited

1991

Highly Cited

1991

Is this relevant?