| Presentation | 2013-07-18 Online learning from Crowds Tran QUANG KHAI, Jun SAKUMA, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In our paper, we propose an online learning algorithm for classification problems using crowdsourcing services. By using the online learning approach, we are able to solve the problem that the existed method couldn't deal with when the reliability of workers and the tend of tasks change over time. We show that under this learning condition the prediction accuracy of the existed method will be decreased. And using online learning method to solve online the existed method, the batch learning, we are able to solve this problem. After defining a new regret for online in crowdsourcing, we use it to estimate our method. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | crowdsourcing / online learning / regret / logistic regression |
| Paper # | IBISML2013-4 |
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| Conference Information | |
| Committee | IBISML |
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| Conference Date | 2013/7/11(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
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| Paper Information | |
| Registration To | Information-Based Induction Sciences and Machine Learning (IBISML) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Online learning from Crowds |
| Sub Title (in English) | |
| Keyword(1) | crowdsourcing |
| Keyword(2) | online learning |
| Keyword(3) | regret |
| Keyword(4) | logistic regression |
| 1st Author's Name | Tran QUANG KHAI |
| 1st Author's Affiliation | Graduate School of Systems and Information Engineering, University of Tsukuba() |
| 2nd Author's Name | Jun SAKUMA |
| 2nd Author's Affiliation | Graduate School of Systems and Information Engineering, University of Tsukuba |
| Date | 2013-07-18 |
| Paper # | IBISML2013-4 |
| Volume (vol) | vol.113 |
| Number (no) | 139 |
| Page | pp.pp.- |
| #Pages | 8 |
| Date of Issue | |