2012年
クラウドソーシングを用いた教師付き学習の凸最適化による定式化
人工知能学会論文誌
- ,
- 巻
- 27
- 号
- 3
- 開始ページ
- 133
- 終了ページ
- 142
- 記述言語
- 日本語
- 掲載種別
- 研究論文(学術雑誌)
- DOI
- 10.1527/tjsai.27.133
- 出版者・発行元
- 社団法人 人工知能学会
It has attracted considerable attention to use crowdsourcing services to collect a large amount of labeled data for machine learning, since crowdsourcing services allow one to ask the general public to label data at very low cost through the Internet. The use of crowdsourcing has introduced a new challenge in machine learning, that is, coping with low quality of crowd-generated data. There have been many recent attempts to address the quality problem of multiple labelers, however, there are two serious drawbacks in the existing approaches, that are, (i) non-convexity and (ii) task homogenei...
- リンク情報
- ID情報
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- DOI : 10.1527/tjsai.27.133
- ISSN : 1346-8030
- ISSN : 1346-0714
- CiNii Articles ID : 130001878753
- SCOPUS ID : 84867415955