| 000 -LEADER | |
|---|---|
| fixed length control field | 02443pam a2200373 i 4500 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | AE-DuAU |
| 001 - CONTROL NUMBER | |
| control field | 9783319410623 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20241127175714.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 160822t20162016sz a b 001 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9783319410623 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 3319410628 |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | StDuBDS |
| Language of cataloging | eng |
| Transcribing agency | StDuBDS |
| Description conventions | rda |
| Modifying agency | UK-RwCLS |
| 050 04 - LIBRARY OF CONGRESS CALL NUMBER | |
| Classification number | Q325.5 |
| Item number | .M87 2016 |
| 090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (OCLC) | |
| Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) | Q 325.5 .M87 2016 |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Murty, M. Narasimha, |
| Relator term | author. |
| 9 (RLIN) | 9413 |
| 245 10 - TITLE STATEMENT | |
| Title | Support vector machines and perceptrons : |
| Remainder of title | learning, optimization, classification, and application to social networks / |
| Statement of responsibility, etc | M.N. Murty, Rashmi Raghava. |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE STATEMENTS | |
| Place of production, publication, distribution, manufacture | Switzerland : |
| Name of producer, publisher, distributor, manufacturer | Springer, |
| Date of production, publication, distribution, manufacture | [2016] |
| 264 #4 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE STATEMENTS | |
| Date of production, publication, distribution, manufacture | 2016 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | xiii, 95 pages : |
| Other physical details | illustrations (black and white) ; |
| Dimensions | 24 cm. |
| 336 ## - CONTENT TYPE | |
| Content Type Term | text |
| Source | rdacontent |
| Content Type Code | txt |
| 336 ## - CONTENT TYPE | |
| Content Type Term | still image |
| Source | rdacontent |
| Content Type Code | txt |
| 337 ## - MEDIA TYPE | |
| Media Type Term | unmediated |
| Source | rdamedia |
| Media Type Code | n |
| 338 ## - CARRIER TYPE | |
| Carrier Type Term | volume |
| Source | rdacarrier |
| Carrier Type Code | nc |
| 490 1# - SERIES STATEMENT | |
| Series statement | SpringerBriefs in computer science, |
| International Standard Serial Number | 2191-5768 |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE | |
| Bibliography, etc | Includes bibliographical references and index. |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Introduction --<br/>Linear Discriminant Function --<br/>Perceptron --<br/>Linear Support Vector Machines --<br/>Kernel Based SVM --<br/>Application to Social Networks --<br/>Conclusion. |
| 520 00 - SUMMARY, ETC. | |
| Summary, etc | This work reviews the state of the art in SVM and perceptron classifiers. A Support Vector Machine (SVM) is easily the most popular tool for dealing with a variety of machine-learning tasks, including classification. SVMs are associated with maximizing the margin between two classes. The concerned optimization problem is a convex optimization guaranteeing a globally optimal solution. The weight vector associated with SVM is obtained by a linear combination of some of the boundary and noisy vectors. Further, when the data are not linearly separable, tuning the coefficient of the regularization term becomes crucial. Even though SVMs have popularized the kernel trick, in most of the practical applications that are high-dimensional, linear SVMs are popularly used. The text examines applications to social and information networks. The work also discusses another popular linear classifier, the perceptron, and compares its performance with that of the SVM in different application areas.>. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Support vector machines. |
| 9 (RLIN) | 9414 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Social networks. |
| 9 (RLIN) | 1902 |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Raghava, Rashmi, |
| Relator term | author. |
| 9 (RLIN) | 9415 |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
| Uniform title | SpringerBriefs in computer science. |
| 9 (RLIN) | 9416 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Library of Congress Classification |
| Item type | Books |
| 907 ## - LOCAL DATA ELEMENT G, LDG (RLIN) | |
| a | 43253 |
| Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Collection code | Home library | Current library | Shelving location | Date acquired | Source of acquisition | Cost, normal purchase price | Total Checkouts | Full call number | Barcode | Date last seen | Date last borrowed | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Library of Congress Classification | Non-fiction | American University in Dubai | American University in Dubai | Main Collection | 2016-11-20 | Oasis Proquest | 338.32 | 1 | Q 325.5 .M87 2016 | 5169523 | 2023-12-01 | 2019-04-17 | 2016-11-20 | Books |