Learning to Quantify
This open access book provides an introduction and an overview of learning to quantify (a.k.a. "quantification"), i.e. the task of training estimators of class proportions in unlabeled data by means of supervised learning. In data science, learning to quantify is a task of its own related...
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| 第一著者: | |
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| その他の著者: | , , |
| フォーマット: | 電子媒体 図書の章 |
| 言語: | 英語 |
| 出版事項: |
Cham
Springer Nature
2023
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| シリーズ: | The Information Retrieval Series
47 |
| 主題: | |
| オンライン･アクセス: | OAPEN Library: download the publication OAPEN Library: description of the publication |
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OAPEN Library: download the publicationOAPEN Library: description of the publication
3rd Floor Main Library
| 請求記号: |
A1234.567 |
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| 所蔵 1 | 利用可 |