MARC details
| 000 -LEADER |
|---|
| fixed length control field |
01709nmm 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 |
|---|
| International Standard Book Number |
9780511210600 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
006.31 |
| Item number |
Sh28K |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Shawe-Taylor, J. |
| Relator term |
Author |
| Language of a work |
English |
| 9 (RLIN) |
1155 |
| 245 #0 - TITLE STATEMENT |
|---|
| Title |
Kernel Methods for Pattern Analysis |
| Statement of responsibility, etc. |
/ by J. Shawe-Taylor and N. Cristianini. |
| 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. |
2004 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
478p. |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc. |
Kernel methods provide a powerful and unified framework for pattern discovery, motivating algorithms that can act on general types of data (e.g. strings, vectors or text) and look for general types of relations (e.g. rankings, classifications, regressions, clusters). The application areas range from neural networks and pattern recognition to machine learning and data mining. This book, developed from lectures and tutorials, fulfils two major roles: firstly it provides practitioners with a large toolkit of algorithms, kernels and solutions ready to use for standard pattern discovery problems in fields such as bioinformatics, text analysis, image analysis. Secondly it provides an easy introduction for students and researchers to the growing field of kernel-based pattern analysis, demonstrating with examples how to handcraft an algorithm or a kernel for a new specific application, and covering all the necessary conceptual and mathematical tools to do so. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Computer Vision and Pattern Recognition |
| 9 (RLIN) |
1418 |
|
|---|
| Topical term or geographic name entry element |
Machine Learning |
| 9 (RLIN) |
15545 |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Cristianini, N. |
| Relationship information |
[Author] |
| 9 (RLIN) |
1158 |
| 856 ## - ELECTRONIC LOCATION AND ACCESS |
|---|
| Uniform Resource Identifier |
<a href="https://ebookcentral.proquest.com/lib/iitjin/detail.action?docID=266541">https://ebookcentral.proquest.com/lib/iitjin/detail.action?docID=266541</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 |
|
