Soft Computing in Machine Learning (Record no. 52186)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 04172nam a22004935i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 978-3-319-05533-6 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20200420220226.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 140304s2014 gw | s |||| 0|eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9783319055336 |
| -- | 978-3-319-05533-6 |
| 082 04 - CLASSIFICATION NUMBER | |
| Call Number | 006.3 |
| 245 10 - TITLE STATEMENT | |
| Title | Soft Computing in Machine Learning |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | X, 117 p. 69 illus., 15 illus. in color. |
| 490 1# - SERIES STATEMENT | |
| Series statement | Advances in Intelligent Systems and Computing, |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Remark 2 | Sudden Illumination Change Detection and Image Contrast Enhancement -- Frame concept for generator of electronic educational publications -- Intelligent call triage system with algorithm combining decision-tree and SVM -- Recognition of Rocks at Uranium Deposits by using a Few Methods of Machine Learning -- More Faster Self-Organizing Maps by General Purpose on Graphics Processing Units -- Analysis of Local Concerts using Facebook Adapting the Mathematical Model of Hit Phenomena -- Hands and arms motion estimation of a car driver with depth image sensor by using particle filter -- SNR Improvement of an Optical Wave Microphone Using a Wavelet Network -- Origin of Kanizsa triangle illusion -- LTS-SVMR for Modeling of Nonlinear Systems with Noise and Outliers. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | As users or consumers are now demanding smarter devices, intelligent systems are revolutionizing by utilizing machine learning. Machine learning as part of intelligent systems is already one of the most critical components in everyday tools ranging from search engines and credit card fraud detection to stock market analysis. You can train machines to perform some things, so that they can automatically detect, diagnose, and solve a variety of problems. The intelligent systems have made rapid progress in developing the state of the art in machine learning based on smart and deep perception. Using machine learning, the intelligent systems make widely applications in automated speech recognition, natural language processing, medical diagnosis, bioinformatics, and robot locomotion. This book aims at introducing how to treat a substantial amount of data, to teach machines and to improve decision making models. And this book specializes in the developments of advanced intelligent systems through machine learning. It consists of 11 contributions that features illumination change detection, generator of electronic educational publications, intelligent call triage system, recognition of rocks at uranium deposits, graphics processing units, mathematical model of hit phenomena, selection and mutation in genetic algorithm, hands and arms motion estimation, application of wavelet network, Kanizsa triangle illusion, and support vector machine regression. Also, it describes how to apply the machine learning for the intelligent systems. This edition is published in original, peer reviewed contributions covering from initial design to final prototypes and verifications. . |
| 700 1# - AUTHOR 2 | |
| Author 2 | Rhee, Sang-Yong. |
| 700 1# - AUTHOR 2 | |
| Author 2 | Park, Jooyoung. |
| 700 1# - AUTHOR 2 | |
| Author 2 | Inoue, Atsushi. |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | http://dx.doi.org/10.1007/978-3-319-05533-6 |
| 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 | |
| -- | 2194-5357 ; |
| 912 ## - | |
| -- | ZDB-2-ENG |
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