Support vector machines (Record no. 12165)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 03441cam a2200361Ia 4500 |
| 001 - CONTROL NUMBER | |
| control field | CAH0KE12764PDF |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | BD-DhSAU |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20151012144310.0 |
| 006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS | |
| fixed length control field | m|||||o||d|||||||| |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION | |
| fixed length control field | cr|||| |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 130619s2013 fluad sb 001 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781439857939 (ebook : PDF) |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | BD-DhSAU |
| Transcribing agency | BD-DhSAU |
| 090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (OCLC) | |
| Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) | QA402.5 |
| Local cutter number (OCLC) ; Book number/undivided call number, CALL (RLIN) | .D398 2013 |
| 092 ## - LOCALLY ASSIGNED DEWEY CALL NUMBER (OCLC) | |
| Classification number | 519.6 |
| Item number | D392 |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Deng, Naiyang. |
| 245 10 - TITLE STATEMENT | |
| Title | Support vector machines |
| Medium | [electronic resource] : |
| Remainder of title | optimization based theory, algorithms, and extensions / |
| Statement of responsibility, etc. | Naiyang Deng, Yingjie Tian, Chunhua Zhang. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication, distribution, etc. | Boca Raton : |
| Name of publisher, distributor, etc. | CRC Press, Taylor & Francis Group, |
| Date of publication, distribution, etc. | [2013] |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | xxvii, 335 p. : |
| Other physical details | ill. |
| 490 1# - SERIES STATEMENT | |
| Series statement | Chapman & Hall/CRC data mining and knowledge discovery series |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE | |
| Bibliography, etc | Includes bibliographical references (p. 299-313) and index. |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | 1. Optimization -- 2. Linear classification -- 3. Linear regression -- 4. Kernels and support vector machines -- 5. Basic statistical learning theory of C-support vector classification -- 6. Model construction -- 7. Implementation -- 8. Variants and extensions of support vector machines. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | "Preface Support vector machines (SVMs), which were introduced by Vapnik in the early 1990s, are proved effective and promising techniques for data mining. SVMs have recently been breakthroughs in advance in their theoretical studies and implementations of algorithms. They have been successfully applied in many fields such as text categorization, speech recognition, remote sensing image analysis, time series forecasting, information security and etc. SVMs, having their roots in Statistical Learning Theory (SLT) and optimization methods, become powerful tools to solve the problems of machine learning with finite training points and to overcome some traditional difficulties such as the "curse of dimensionality", "over-fitting" and etc. SVMs theoretical foundation and implementation techniques have been established and SVMs are gaining quick development and popularity due to their many attractive features: nice mathematical representations, geometrical explanations, good generalization abilities and promising empirical performance. Some SVM monographs, including more sophisticated ones such as Cristianini & Shawe-Taylor [39] and Scholkopf & Smola [124], have been published. We have published two books about SVMs in Science Press of China since 2004 [42, 43], which attracted widespread concerns and received favorable comments. After several years research and teaching, we decide to rewrite the books and add new research achievements. The starting point and focus of the book is optimization theory, which is different from other books on SVMs in this respect. Optimization is one of the pillars on which SVMs are built, so it makes a lot of sense to consider them from this point of view"-- |
| Assigning source | Provided by publisher. |
| 530 ## - ADDITIONAL PHYSICAL FORM AVAILABLE NOTE | |
| Additional physical form available note | Also available in print edition. |
| 538 ## - SYSTEM DETAILS NOTE | |
| System details note | Mode of access: World Wide Web. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Mathematical optimization. |
| 655 #7 - INDEX TERM--GENRE/FORM | |
| Genre/form data or focus term | Electronic books. |
| Source of term | lcsh |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Tian, Yingjie, |
| Dates associated with a name | 1973- |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Zhang, Chunhua, |
| Dates associated with a name | 1978- |
| 776 1# - ADDITIONAL PHYSICAL FORM ENTRY | |
| International Standard Book Number | 9781439857922 (hardback) |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
| Uniform title | Chapman & Hall/CRC data mining and knowledge discovery series. |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | <a href="http://marc.crcnetbase.com/isbn/9781439857939">http://marc.crcnetbase.com/isbn/9781439857939</a> |
| Electronic format type | application/PDF |
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