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One-pass-throw-away learning of temporal class-shift by multi-stratum network |
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| รหัสดีโอไอ | |
| Title | One-pass-throw-away learning of temporal class-shift by multi-stratum network |
| Creator | Mongkhon Thakong |
| Contributor | Suphakant Phimoltares, Chidchanok Lursinsap |
| Publisher | Chulalongkorn University |
| Publication Year | 2558 |
| Keyword | Streaming technology (Telecommunications), Online data processing, เทคโนโลยีสตรีมมิง (โทรคมนาคม), การประมวลผลข้อมูลแบบออนไลน์ |
| Abstract | The problem of learning streaming non-expired and temporally expired data occurring in various business applications was studied. If there exists a class whose all data are eventually expired with some unknown reasons, then the relevant neurons and their links must be entirely removed. A new learning based on dynamic network structure called Multi-Stratum Network Learning (MSNL) was proposed to cope with this problem of data life change. Furthermore, to speed up the learning time and to maintain a minimum space complexity for streaming data, the new concept of one-pass-throw-away learning in forms of recursive functions for handling the expiration class was introduced. The experimental results signified that the proposed algorithm outperformed the other incremental-like learning algorithms in terms of time and space complexities. |
| URL Website | cuir.car.chula.ac.th |
