Skip to search formSkip to main contentSkip to account menu

Linear separability

Known as: Linearly separable, Separability 
In Euclidean geometry, linear separability is a geometric property of a pair of sets of points. This is most easily visualized in two dimensions (the… 
Wikipedia (opens in a new tab)

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2016
Highly Cited
2016
Dimensionality reduction is extremely important for understanding the intrinsic structure hidden in high-dimensional data. In… 
Highly Cited
2011
Highly Cited
2011
Building upon the pioneering work of J. Bell [1] and an incredible result due to L. Hardy [2] it was shown that the probability… 
Highly Cited
2002
Highly Cited
2002
SVMs tend to take a very long time to train with a large data set. If "redundant" patterns are identified and deleted in pre… 
Highly Cited
2001
Highly Cited
2001
In multirate multicasting, different users (receivers) within the same multicast group could receive service at different rates… 
Highly Cited
1994
Highly Cited
1994
The three‐dimensional intermolecular potential energy surface (IPS) for Ar–NH3 has been determined from a least‐squares fit to 61… 
Highly Cited
1993
Highly Cited
1993
We study the optimal wiresizing problem under the distributed Elmore delay model. We show that the optimal wiresizing solutions… 
Highly Cited
1989
Highly Cited
1989
Separability assumptions on functional structure have received a great deal of attention from econometricians and economic… 
Highly Cited
1988
Highly Cited
1988
The paper models multiproduct supply response in agriculture and tests key assumptions traditionally maintained in supply… 
Highly Cited
1987
Highly Cited
1987
First, the historical background leading to the optimality criteria approach is discussed pointing out the role of the… 
Highly Cited
1978
Highly Cited
1978
A clustering scheme using a multidimensional histogram stored in a table is described and tested on four-dimensional data derived…