Optimization for learning and control (Record no. 1776)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 01903nam a2200229 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20250802145118.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 250802b2023|||||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9781119809142 |
| 041 ## - LANGUAGE CODE | |
| Language code of text/sound track or separate title | English |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 004 |
| 100 ## - MAIN ENTRY--AUTHOR NAME | |
| Personal name | Andersen, Martin |
| Relator term | Author |
| 100 ## - MAIN ENTRY--AUTHOR NAME | |
| Personal name | Hansson, Anders |
| Relator term | Co-Author |
| 245 ## - TITLE STATEMENT | |
| Title | Optimization for learning and control |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication | New Jersey: |
| Name of publisher | Wiley Data and Cybersecurity, |
| Year of publication | 2023. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | xxvii, 397p. |
| 500 ## - GENERAL NOTE | |
| General note | Optimization for Learning and Control<br/>Comprehensive resource providing a masters’ level introduction to optimization theory and algorithms for learning and control<br/><br/>Optimization for Learning and Control describes how optimization is used in these domains, giving a thorough introduction to both unsupervised learning, supervised learning, and reinforcement learning, with an emphasis on optimization methods for large-scale learning and control problems.<br/><br/>Several applications areas are also discussed, including signal processing, system identification, optimal control, and machine learning.<br/><br/>Today, most of the material on the optimization aspects of deep learning that is accessible for students at a Masters’ level is focused on surface-level computer programming; deeper knowledge about the optimization methods and the trade-offs that are behind these methods is not provided. The objective of this book is to make this scattered knowledge, currently mainly available in publications in academic journals, accessible for Masters’ students in a coherent way. The focus is on basic algorithmic principles and trade-offs. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Linear Algebra and Probability Theory |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Optimization Theory and Optimization Problems |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Calculus of Variations and Dynamic Programming |
| 856 ## - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | https://ieeexplore.ieee.org/servlet/opac?bknumber=10132902 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | e-Books |
| Withdrawn status | Lost status | Damaged status | Not for loan | Permanent Location | Current Location | Shelving location | Coded location qualifier | Full call number | Accession Number | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|
| Dr. S. R. Ranganathan Library | Dr. S. R. Ranganathan Library | Ebook (Online Access) | --- | 004 | EB0200 | e-Books |