| view 👀:5 |
🙍 oneddl |
redaktor: book24h | Rating👍:
Machine Learning from Weak Supervision An Empirical Risk Minimization Approach (The MIT Press) [#473432]
English | 2022 | ISBN: 0262047071 | 325 pages | PDF | 37.05 MB
Fundamental theory and practical algorithms of weakly supervised classification, emphasizing an approach based on empirical risk minimization.
Standard machine learning techniques require large amounts of labeled data to work well. When we apply machine learning to problems in the physical world, however, it is extremely difficult to collect such quantities of labeled data. In this book Masashi Sugiyama, Han Bao, Takashi Ishida, Nan Lu, Tomoya Sakai and Gang Niu present theory and algorithms for weakly supervised learning, a paradigm of machine learning from weakly labeled data. Emphasizing an approach based on empirical risk minimization and drawing on state-of-the-art research in weakly supervised learning, the book provides both the fundamentals of the field and the advanced mathematical theories underlying them. It can be used as a reference for practitioners and researchers and in the classroom.
The book first mathematically formulates classification problems, defines common notations, and reviews various algorithms for supervised binary and multiclass classification. It then explores problems of binary weakly supervised classification, including positive-unlabeled (PU) classification, positive-negative-unlabeled (PNU) classification, and unlabeled-unlabeled (UU) classification. It then turns to multiclass classification, discussing complementary-label (CL) classification and partial-label (PL) classification. Finally, the book addresses more advanced issues, including a family of correction methods to improve the generalization performance of weakly supervised learning and the problem of class-prior estimation.
https://rapidgator.net/file/e6c8b1e720009d493f44651ddba7a679/yvnwo.M.L.f.W.S..A.E.R.M.A.T.M.P.rar.html
Please Help Me Click Connect Icon Below Here and Share News to Social Network | Thanks you !
⚠️ Dead Link ?
You may submit a re-upload request using the search feature.
All requests are reviewed in accordance with our Content Policy.
Significant surge in the popularity of free ebook download platforms. These virtual repositories offer an unparalleled range, covering genres that span from classic literature to contemporary non-fiction, and everything in between. Enthusiasts of reading can easily indulge in their passion by accessing free books download online services, which provide instant access to a wealth of knowledge and stories without the physical constraints of space or the financial burden of purchasing hardcover editions.
Comments (0)
Users of Guests are not allowed to comment this publication.