Machine Learning and Visual Perception / / Baochang Zhang.
The book provides an up-to-date on machine learning and visual perception, including decision tree, Bayesian learning, support vector machine, AdaBoost, object detection, compressive sensing, deep learning, and reinforcement learning. Both classic and novel algorithms are introduced. With abundant p...
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Superior document: | Title is part of eBook package: De Gruyter DG Ebook Package English 2020 |
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Place / Publishing House: | Berlin ;, Boston : : De Gruyter, , [2020] ©2020 |
Year of Publication: | 2020 |
Language: | English |
Series: | De Gruyter Textbook
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Online Access: | |
Physical Description: | 1 online resource (X, 142 p.) |
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LEADER | 04386nam a22008175i 4500 | ||
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100 | 1 | |a Zhang, Baochang, |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
245 | 1 | 0 | |a Machine Learning and Visual Perception / |c Baochang Zhang. |
264 | 1 | |a Berlin ; |a Boston : |b De Gruyter, |c [2020] | |
264 | 4 | |c ©2020 | |
300 | |a 1 online resource (X, 142 p.) | ||
336 | |a text |b txt |2 rdacontent | ||
337 | |a computer |b c |2 rdamedia | ||
338 | |a online resource |b cr |2 rdacarrier | ||
347 | |a text file |b PDF |2 rda | ||
490 | 0 | |a De Gruyter Textbook | |
505 | 0 | 0 | |t Frontmatter -- |t Contents -- |t Introduction -- |t 1. Introduction of machine learning -- |t 2. PAC Model -- |t 3. Decision tree learning -- |t 4. Bayesian learning -- |t 5. Support vector machines -- |t 6. AdaBoost -- |t 7. Compressed sensing -- |t 8. Subspace learning -- |t 9. Deep learning and neural networks -- |t 10. Reinforcement learning -- |t Bibliography -- |t Index |
506 | 0 | |a restricted access |u http://purl.org/coar/access_right/c_16ec |f online access with authorization |2 star | |
520 | |a The book provides an up-to-date on machine learning and visual perception, including decision tree, Bayesian learning, support vector machine, AdaBoost, object detection, compressive sensing, deep learning, and reinforcement learning. Both classic and novel algorithms are introduced. With abundant practical examples, it is an essential reference to students, lecturers, professionals, and any interested lay readers. | ||
530 | |a Issued also in print. | ||
538 | |a Mode of access: Internet via World Wide Web. | ||
546 | |a In English. | ||
588 | 0 | |a Description based on online resource; title from PDF title page (publisher's Web site, viewed 27. Jan 2023) | |
700 | 1 | |a Tsinghua University Press, |e contributor. |4 ctb |4 https://id.loc.gov/vocabulary/relators/ctb | |
773 | 0 | 8 | |i Title is part of eBook package: |d De Gruyter |t DG Ebook Package English 2020 |z 9783110696288 |
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773 | 0 | 8 | |i Title is part of eBook package: |d De Gruyter |t De Gruyter English eBooks 2020 - UC |z 9783110659061 |
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773 | 0 | 8 | |i Title is part of eBook package: |d De Gruyter |t EBOOK PACKAGE Engineering, Computer Sciences 2020 English |z 9783110704815 |
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776 | 0 | |c print |z 9783110595536 | |
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