Support Vector Machines and Evolutionary Algorithms for Classification (Record no. 53020)
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000 -LEADER | |
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fixed length control field | 02614nam a22004815i 4500 |
001 - CONTROL NUMBER | |
control field | 978-3-319-06941-8 |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20200420221258.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 140515s2014 gw | s |||| 0|eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
ISBN | 9783319069418 |
-- | 978-3-319-06941-8 |
082 04 - CLASSIFICATION NUMBER | |
Call Number | 006.3 |
100 1# - AUTHOR NAME | |
Author | Stoean, Catalin. |
245 10 - TITLE STATEMENT | |
Title | Support Vector Machines and Evolutionary Algorithms for Classification |
Sub Title | Single or Together? / |
300 ## - PHYSICAL DESCRIPTION | |
Number of Pages | XVI, 122 p. 31 illus. |
490 1# - SERIES STATEMENT | |
Series statement | Intelligent Systems Reference Library, |
505 0# - FORMATTED CONTENTS NOTE | |
Remark 2 | Support Vector Machines -- Evolutionary Algorithms -- Support Vector Machines and Evolutionary Algorithms. |
520 ## - SUMMARY, ETC. | |
Summary, etc | When discussing classification, support vector machines are known to be a capable and efficient technique to learn and predict with high accuracy within a quick time frame. Yet, their black box means to do so make the practical users quite circumspect about relying on it, without much understanding of the how and why of its predictions. The question raised in this book is how can this 'masked hero' be made more comprehensible and friendly to the public: provide a surrogate model for its hidden optimization engine, replace the method completely or appoint a more friendly approach to tag along and offer the much desired explanations? Evolutionary algorithms can do all these and this book presents such possibilities of achieving high accuracy, comprehensibility, reasonable runtime as well as unconstrained performance. |
700 1# - AUTHOR 2 | |
Author 2 | Stoean, Ruxandra. |
856 40 - ELECTRONIC LOCATION AND ACCESS | |
Uniform Resource Identifier | http://dx.doi.org/10.1007/978-3-319-06941-8 |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Koha item type | eBooks |
264 #1 - | |
-- | Cham : |
-- | Springer International Publishing : |
-- | Imprint: Springer, |
-- | 2014. |
336 ## - | |
-- | text |
-- | txt |
-- | rdacontent |
337 ## - | |
-- | computer |
-- | c |
-- | rdamedia |
338 ## - | |
-- | online resource |
-- | cr |
-- | rdacarrier |
347 ## - | |
-- | text file |
-- | |
-- | rda |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Engineering. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Artificial intelligence. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Computational intelligence. |
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Engineering. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Computational Intelligence. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Artificial Intelligence (incl. Robotics). |
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
-- | 1868-4394 ; |
912 ## - | |
-- | ZDB-2-ENG |
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