MARC details
| 000 -LEADER |
|---|
| fixed length control field |
01820nmm a2200193Ia 4500 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
220920s9999||||xx |||||||||||||| ||und|| |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9781139176224 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
006.310 151 252 |
| Item number |
K962K |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Kung, S. Y. |
| Relator term |
Author |
| Language of a work |
English |
| 9 (RLIN) |
1875 |
| 245 #0 - TITLE STATEMENT |
|---|
| Title |
Kernel Methods and Machine Learning |
| Statement of responsibility, etc. |
/ by S. Y. Kung. |
| Medium |
[Electronic Resource] |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
|---|
| Place of publication, distribution, etc. |
Cambridge |
| Name of publisher, distributor, etc. |
: Cambridge University Press, |
| Date of publication, distribution, etc. |
2014 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xxiv, 591p. |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc. |
Offering a fundamental basis in kernel-based learning theory, this book covers both statistical and algebraic principles. It provides over 30 major theorems for kernel-based supervised and unsupervised learning models. The first of the theorems establishes a condition, arguably necessary and sufficient, for the kernelization of learning models. In addition, several other theorems are devoted to proving mathematical equivalence between seemingly unrelated models. With over 25 closed-form and iterative algorithms, the book provides a step-by-step guide to algorithmic procedures and analysing which factors to consider in tackling a given problem, enabling readers to improve specifically designed learning algorithms, build models for new applications and develop efficient techniques suitable for green machine learning technologies. Numerous real-world examples and over 200 problems, several of which are Matlab-based simulation exercises, make this an essential resource for graduate students and professionals in computer science, electrical and biomedical engineering. Solutions to problems are provided online for instructors. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Communications And Signal Processing |
| 9 (RLIN) |
15730 |
|
|---|
| Topical term or geographic name entry element |
Engineering |
| 9 (RLIN) |
406 |
|
|---|
| Topical term or geographic name entry element |
Machine Learning |
| 9 (RLIN) |
15731 |
| 856 ## - ELECTRONIC LOCATION AND ACCESS |
|---|
| Uniform Resource Identifier |
<a href="https://doi.org/10.1017/CBO9781139176224">https://doi.org/10.1017/CBO9781139176224</a> |
| Electronic format type |
PDF |
| Link text |
Click to Access the Online Book |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Koha item type |
e-Book |
| Suppress in OPAC |
|
