A Tutorial on Support Vector Machines for Pattern Recognition
Christopher J.C. Burges, “A Tutorial on Support Vector Machines for Pattern Recognition”. Data Mining and Knowledge Discovery 2, pp. 121–167 (published 1998). Secondary (tutorial) for its history statements.
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- A Tutorial on Support Vector Machines for Pattern Recognition Data Mining and Knowledge Discovery (Kluwer); copy hosted on an ENS Paris personal page · published 1998 · Retrieved for the candidate pack on 2026-10-29 (SHA-256 6095422e59a813e04ae5fea5248916c6ac87fc7c49ee1fb0b2fe3f8fced0379d). Pre-publication copy with the note "Appeared in: Data Mining and Knowledge Discovery 2, 121-167, 1998"; may differ from the journal text.
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- A training algorithm for optimal margin classifiersAccording to Burges (1998), Boser, Guyon and Vapnik (1992) showed that an older trick (Aizerman, 1964) generalises support vector methods to nonlinear decision functions.1998 · publication · Stated in source · Supported Inspect claim & evidence ↗A training algorithm for optimal margin classifiers: document page →
- Support-vector networksAccording to Burges (1998), the positive slack variables used for non-separable data follow Cortes and Vapnik (1995).1998 · publication · Stated in source · Supported Inspect claim & evidence ↗Support-vector networks: document page →
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