Keerthi, S. S. ; Shevade, S. K. ; Bhattacharyya, C. ; Murthy, K. R. K. (2001) Improvements to Platt's SMO Algorithm for SVM Classifier Design Neural Computation, 13 (3). pp. 637-649. ISSN 0899-7667
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Official URL: http://doi.org/10.1162/089976601300014493
Related URL: http://dx.doi.org/10.1162/089976601300014493
Abstract
This article points out an important source of inefficiency in Platt's sequential minimal optimization (SMO) algorithm that is caused by the use of a single threshold value. Using clues from the KKT conditions for the dual problem, two threshold parameters are employed to derive modifications of SMO. These modified algorithms perform significantly faster than the original SMO on all benchmark data sets tried.
| Item Type: | Article |
|---|---|
| Source: | Copyright of this article belongs to IEEE |
| ID Code: | 127671 |
| Deposited On: | 13 Oct 2022 10:59 |
| Last Modified: | 13 Oct 2022 10:59 |
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