記事・論文
| Title | 機械学習による不適切回答者の予測 |
|---|---|
| Author | 尾崎 幸謙 |
| Author | 鈴木 貴士 |
| Place of Publication (Country Code) | JP |
| Parallel Title | Using Machine Learning to Predict Inappropriate Respondents |
| Year of Publication(W3CDTF) | 2019-09 |
| Subject Heading(Keyword) | inappropriate respondent |
| Subject Heading(Keyword) | satisfice |
| Subject Heading(Keyword) | inconsistent answers |
| Subject Heading(Keyword) | instructional manupulation check |
| Subject Heading(Keyword) | machine learning |
| Subject Heading(Keyword) | 不適切回答者 |
| Subject Heading(Keyword) | 努力の最小限化 |
| Subject Heading(Keyword) | 矛盾回答 |
| Subject Heading(Keyword) | 指示項目 |
| Subject Heading(Keyword) | 機械学習 |
| NDLC | ZE1 |
| Target Audience | 一般 |
| Material Type | 記事・論文 |
| is part of (URI Form) | https://iss.ndl.go.jp/books/R100000002-I000000029442-00 |
| is part of (ISSN Form) | 03855481 |
| is part of (ISSN-L Form) | 03855481 |
| Magazine-which-carries-the-article name | 行動計量学 = The Japanese journal of behaviormetrics / 日本行動計量学会編集委員会 編 |
| Printing volume | 46 |
| Printing number | 2 |
| Printing through number | 91 |
| Printing page | 39-52 |
| Language（ISO639-2 Form) | jpn : 日本語 |
