Machine learning from weak supervision : an empirical risk minimization approach

Author(s)

• 杉山, 将 スギヤマ, マサシ

Bibliographic Information

Machine learning from weak supervision : an empirical risk minimization approach

Masashi Sugiyama ... [et al.]

（Adaptive computation and machine learning）

The MIT Press, c2022

• : hardcover

Note

Other authors: Han Bao, Takashi Ishida, Nan Lu, Tomoya Sakayi and Gang Niu

Includes bibliographical references and index

Details

• NCID: BC16789513
• ISBN:
  • 9780262047074
• LCCN: 2021045984
• Country Code: us
• Title Language Code: eng
• Text Language Code: eng
• Place of Publication: Cambridge, Mass.
• Pages/Volumes: xv, 295 p.
• Size: 24 cm
• Classification:
  • LCC : Q325.75
  • DC23 : 006.3/1
  • DC23 : 006.31
• Subject Headings:
  • LCSH : Supervised learning (Machine learning)
• Parent Bibliography ID:
  • BA35126370