What does SV stand for?

Support Vector (learning algorithms)

This definition appears very rarely and is found in the following Acronym Finder categories:

Information technology (IT) and computers
Science, medicine, engineering, etc.

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Samples in periodicals archive:

Coverage encompasses areas like models for wireless networks, models of Nash networks, dynamic models of advertising, and support vector machines.

Modeling, computation, and optimization

1 Introduction The recent results in pattern recognition have shown that support vector machine (SVM) classifiers often have superior recognition rates in comparison to other classification methods.

A multi-class SVM classifier utilizing binary decision tree

INTRODUCTION The support vector machines SVM were proposed originally in the context of machine learning, for classification problems on typically large sets of data which have an unknown dependency on possibly many variables.

Artificial immune system for support vector machine model selection

Oracle Data Mining algorithms, including Naive Bayes, Adaptive Bayes Network and Support Vector Machines, appear as nodes in the Clementine interface.

SPSS' new Clementine 9.0 supports predictive modeling Oracle Data ...

It uses very recent developments in statistical learning--called Support Vector Machines--to distinguish natural, organic shapes and textures.

Automatic inspection for organic products. (Plant & Equipment)

com/research/464e96/knowledge_discover) has announced the addition of John Wiley and Sons Ltd's new report "Knowledge Discovery with Support Vector Machines" to their offering.

Research and Markets: Knowledge Discovery with Support Vector ...

Existing chapters in the 2001 first edition have been updated, and new chapters added on support vector machines and decision trees--both hot topics now in the journals.

Classification methods for remotely sensed data, 2d ed

3]) concentrations in ambient air by using the modelling techniques of support vector machines (SVM) and radial basis neural networks (RBF NN).

Prediction of missing data for ozone concentrations using support ...