AWhat changed
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
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. 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.
Evidence
The linked original sources describe the stated contribution and its evidence limits. WRS has not independently rerun the experiments or certified a proof. 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.
Contributors
- Source-listed authors and technical contributors · SCIENCE: 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.
- LIBSVM: A Library for Support Vector Machines (author implementation document, updated2022)
- LIBSVM official project overview and2011publication reference
Provisional WRS assessment, edition 2026-10-16.1. Independent expert calibration is pending. This grade does not certify correctness or assign ownership.
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