Machine learning from weak supervision : an empirical risk minimization approach /
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| Author / Creator: | Sugiyama, Masashi, 1974- author. |
|---|---|
| Imprint: | Cambridge, Massachusetts : MIT Press, 2022. |
| Description: | 1 online resource () : illustrations (some color) |
| Language: | English |
| Series: | Adaptive Computation and Machine Learning Adaptive computation and machine learning. |
| Subject: | |
| Format: | E-Resource Book |
| URL for this record: | http://pi.lib.uchicago.edu/1001/cat/bib/12969440 |
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| 100 | 1 | |a Sugiyama, Masashi, |d 1974- |e author. | |
| 245 | 1 | 0 | |a Machine learning from weak supervision : |b an empirical risk minimization approach / |c Masashi Sugiyama, Han Bao, Takashi Ishida, Nan Lu, Tomoya Sakayi and Gang Niu. |
| 264 | 1 | |a Cambridge, Massachusetts : |b MIT Press, |c 2022. | |
| 300 | |a 1 online resource () : |b illustrations (some color) | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 490 | 1 | |a Adaptive Computation and Machine Learning | |
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a I. Machine Learning from Weak Supervision -- II. Weakly Supervised Learning for Binary Classification -- III. Weakly Supervised Learning for Multi-Class Classification -- IV. Advanced Topics and Perspectives | |
| 650 | 0 | |a Supervised learning (Machine learning) | |
| 650 | 7 | |a Supervised learning (Machine learning) |2 fast |0 (OCoLC)fst01139041 | |
| 700 | 1 | |a Bao, Han, |e author. | |
| 700 | 1 | |a Ishida, Takashi, |e author. | |
| 700 | 1 | |a Lu, Nan, |e author. | |
| 700 | 1 | |a Sakai, Tomoya, |e author. | |
| 700 | 1 | |a Niu, Gang, |e author. | |
| 776 | 0 | 8 | |i Print version: |a Sugiyama, Masashi |t Machine Learning from Weak Supervision |d Cambridge : MIT Press,c2022 |z 9780262047074 |
| 830 | 0 | |a Adaptive computation and machine learning. | |
| 856 | 4 | 0 | |u https://ebookcentral.proquest.com/lib/uchicago/detail.action?docID=7068652 |y ProQuest Ebook Central |x 1 |z Licensed for 1 user at a time |
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| 928 | |t Library of Congress classification |a Q325.75.S84 2022 |l Online |c UC-FullText |n Licensed for 1 user at a time |u https://ebookcentral.proquest.com/lib/uchicago/detail.action?docID=7068652 |z ProQuest Ebook Central |g ebooks |e MACP |i 13107323 | ||
