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- FUJIMOTO Kazuki
- Saitama University
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- SAKAINO Sho
- Saitama University JST PRESTO
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- TSUJI Toshiaki
- Saitama University
Bibliographic Information
- Other Title
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- サンプリングをずらすことによる機械学習の訓練データ水増し手法の検証
Description
<p>A large amount of data is necessary to obtain desired results in machine learning in which a robot substitutes humans’ manual labors. In addition, it is an explicit problem that it takes a lot of time and operating costs for it. In this research, we focus on down-sampling and decimation used in system identification and propose a method to reduce teacher data by padding data in machine learning.</p>
Journal
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- The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec)
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The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) 2019 (0), 2A2-C03-, 2019
The Japan Society of Mechanical Engineers
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Keywords
Details 詳細情報について
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- CRID
- 1390002184856457728
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- NII Article ID
- 130007774738
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- ISSN
- 24243124
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- Text Lang
- ja
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- Data Source
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- JaLC
- Crossref
- CiNii Articles
- OpenAIRE
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- Abstract License Flag
- Disallowed