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LIBSVM: reusable support-vector learning software

Documented a reusable training-and-prediction library for support-vector classification, regression and one-class learning, with interfaces and practical tools for applying the methods.

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Documented a reusable training-and-prediction library for support-vector classification, regression and one-class learning, with interfaces and practical tools for applying the methods.

Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.

Scientific scope

The year denotes the journal account; development began in 2000. Later maintainer documentation does not establish that every current feature existed in 2011. Support-vector theory and predecessor solvers retain separate credit.

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People and systems

Chih-Chung Chang; Chih-Jen Lin

Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.

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English catalogue narrative

LIBSVM: reusable support-vector learning software

Documented a reusable training-and-prediction library for support-vector classification, regression and one-class learning, with interfaces and practical tools for applying the methods.

Scientific scope

The year denotes the journal account; development began in 2000. Later maintainer documentation does not establish that every current feature existed in 2011. Support-vector theory and predecessor solvers retain separate credit.

Reading status

This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.

People and systems

Chih-Chung Chang; Chih-Jen Lin

Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.

Original sources