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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… Expand
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Related topics

Related topics

12 relations

Broader (2)

Convex analysisMachine learning
Convex hullCover's theoremKernel principal component analysisLinear classifier
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2012
Highly Cited
2012
Teaching-Learning-Based Optimization: An optimization method for continuous non-linear large scale problems
An efficient optimization method called 'Teaching-Learning-Based Optimization (TLBO)' is proposed in this paper for large scale… Expand
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Highly Cited
2007
Highly Cited
2007
Estimation and inference in two-stage, semi-parametric models of production processes
Many papers have regressed non-parametric estimates of productive efficiency on environmental variables in two-stage procedures… Expand
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Highly Cited
2007
Highly Cited
2007
Dimensionality Reduction of Multimodal Labeled Data by Local Fisher Discriminant Analysis
Reducing the dimensionality of data without losing intrinsic information is an important preprocessing step in high-dimensional… Expand
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Highly Cited
2004
Highly Cited
2004
A Simple Generalisation of the Area Under the ROC Curve for Multiple Class Classification Problems
The area under the ROC curve, or the equivalent Gini index, is a widely used measure of performance of supervised classification… Expand
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Highly Cited
2004
Highly Cited
2004
Statistical Color Models with Application to Skin Detection
The existence of large image datasets such as the set of photos on the World Wide Web make it possible to build powerful generic… Expand
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Highly Cited
2003
Highly Cited
2003
Posthumanist Performativity: Toward an Understanding of How Matter Comes to Matter
L anguage has been granted too much power. The linguistic turn, the semiotic turn, the interpretative turn, the cultural turn: it… Expand
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Highly Cited
2003
Highly Cited
2003
An algebraic approach to network coding
We take a new look at the issue of network capacity. It is shown that network coding is an essential ingredient in achieving the… Expand
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Highly Cited
2001
Highly Cited
2001
Sequential Monte Carlo Methods in Practice
Monte Carlo methods are revolutionizing the on-line analysis of data in fields as diverse as financial modeling, target tracking… Expand
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Highly Cited
2000
Highly Cited
2000
Habit Formation in Consumption and Its Implications for Monetary Policy Models
This paper explores a monetary-policy model with habit formation for consumers, in which consumers' utility depends in part on… Expand
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Highly Cited
1997
Highly Cited
1997
Discriminant Analysis for Recognition of Human Face Images (Invited Paper)
In this paper the discriminatory power of various human facial features is studied and a new scheme for Automatic Face… Expand
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