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Support Vector Machines (SVMs)

TinySVM is an implementation of Support Vector Machines (SVMs), for the problem of pattern recognition. Support Vector Machines is a new generation learning algorithms based on recent advances in statistical learning theory, and applied to large number of real-world applications, such as text categorization, hand-written character recognition.

Version: 0.09 License: LGPL-2.1 GitHub
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9 build(s) found
Builder Build Number Start Time Elapsed Time Watcher Build Status
15 10025 2024-10-11 2:45:03 0:00:36 899 build successful
14.arm64 11720 2024-01-23 9:25:36 0:00:18 4488 build successful
14 12336 2023-11-22 10:15:45 0:01:40 1892 build successful
13.arm64 10178 2023-03-07 17:17:07 0:00:19 4090 build successful
13 11931 2023-01-08 23:42:02 0:01:22 1685 build successful
12 15021 2022-01-16 8:55:34 0:01:06 3542 build successful
12.arm64 5812 2021-11-06 0:12:17 0:00:22 477 build successful
11 11582 2021-01-02 16:40:22 0:02:02 1556 build successful
11.arm64 7000 2021-01-02 13:25:32 0:00:38 1653 build successful