Data-Variant Kernel Analysis. (Record no. 889658)

001 - CONTROL NUMBER
control field EBL1895925
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS
additional material characteristics m d
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr -n---------
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 160420s2015||||||| s|||||||||||eng|d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781119019336
Terms of availability 195 (NL),195 (3U),130 (1U)
035 ## - SYSTEM CONTROL NUMBER
System control number (AU-PeEL)1895925
035 ## - SYSTEM CONTROL NUMBER
System control number (OCoLC)904047560
040 ## - CATALOGING SOURCE
Original cataloging agency AU-PeEL
Language of cataloging eng
Transcribing agency AU-PeEL
Modifying agency AU-PeEL
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA353.K47 -- .M68 2015eb
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 515/.9
090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (OCLC)
Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) QA353.K47 -- .M68 2015eb
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Motai, Yuichi.
245 10 - TITLE STATEMENT
Title Data-Variant Kernel Analysis.
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc Somerset :
Name of publisher, distributor, etc Wiley,
Date of publication, distribution, etc 2015.
300 ## - PHYSICAL DESCRIPTION
Extent 1 online resource (248 p.)
490 0# - SERIES STATEMENT
Series statement eBooks on Demand
490 1# - SERIES STATEMENT
Series statement Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Cover -- Title Page -- Copyright -- Contents -- List of Figures -- List of Tables -- Preface -- Acknowledgments -- Chapter 1 Survey -- 1.1 Introduction of Kernel Analysis -- 1.2 Kernel Offline Learning -- 1.2.1 Choose the Appropriate Kernels -- 1.2.2 Adopt KA into the Traditionally Developed Machine Learning Techniques -- 1.2.3 Structured Database with Kernel -- 1.3 Distributed Database with Kernel -- 1.3.1 Multiple Database Representation -- 1.3.2 Kernel Selections Among Heterogeneous Multiple Databases
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 1.3.3 Multiple Database Representation KA Applications to Distributed Databases -- 1.4 Kernel Online Learning -- 1.4.1 Kernel-Based Online Learning Algorithms -- 1.4.2 Adopt ""Online"" KA Framework into the Traditionally Developed Machine Learning Techniques -- 1.4.3 Relationship Between Online Learning and Prediction Techniques -- 1.5 Prediction with Kernels -- 1.5.1 Linear Prediction -- 1.5.2 Kalman Filter -- 1.5.3 Finite-State Model -- 1.5.4 Autoregressive Moving Average Model -- 1.5.5 Comparison of Four Models -- 1.6 Future Direction and Conclusion -- References
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note Chapter 2 Offline Kernel Analysis -- 2.1 Introduction -- 2.2 Kernel Feature Analysis -- 2.2.1 Kernel Basics -- 2.2.2 Kernel Principal Component Analysis (KPCA) -- 2.2.3 Accelerated Kernel Feature Analysis (AKFA) -- 2.2.4 Comparison of the Relevant Kernel Methods -- 2.3 Principal Composite Kernel Feature Analysis (PC-KFA) -- 2.3.1 Kernel Selections -- 2.3.2 Kernel Combinatory Optimization -- 2.4 Experimental Analysis -- 2.4.1 Cancer Image Datasets -- 2.4.2 Kernel Selection -- 2.4.3 Kernel Combination and Reconstruction
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 2.4.4 Kernel Combination and Classification -- 2.4.5 Comparisons of Other Composite Kernel Learning Studies -- 2.4.6 Computation Time -- 2.5 Conclusion -- References -- Chapter 3 Group Kernel Feature Analysis -- 3.1 Introduction -- 3.2 Kernel Principal Component Analysis (KPCA) -- 3.3 Kernel Feature Analysis (KFA) for Distributed Databases -- 3.3.1 Extract Data-Dependent Kernels Using KFA -- 3.3.2 Decomposition of Database Through Data Association via Recursively Updating Kernel Matrices -- 3.4 Group Kernel Feature Analysis (GKFA)
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 3.4.1 Composite Kernel: Kernel Combinatory Optimization -- 3.4.2 Multiple Databases Using Composite Kernel -- 3.5 Experimental Results -- 3.5.1 Cancer Databases -- 3.5.2 Optimal Selection of Data-Dependent Kernels -- 3.5.3 Kernel Combinatory Optimization -- 3.5.4 Composite Kernel for Multiple Databases -- 3.5.5 K-NN Classification Evaluation with ROC -- 3.5.6 Comparison of Results with Other Studies on Colonography -- 3.5.7 Computational Speed and Scalability Evaluation of GKFA -- 3.6 Conclusions -- References -- Chapter 4 Online Kernel Analysis -- 4.1 Introduction
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 4.2 Kernel Basics: A Brief Review
520 ## - SUMMARY, ETC.
Summary, etc Describes and discusses the variants of kernel analysis methods for data types that have been intensely studied in recent years This book covers kernel analysis topics ranging from the fundamental theory of kernel functions to its applications. The book surveys the current status, popular trends, and developments in kernel analysis studies. The author discusses multiple kernel learning algorithms and how to choose the appropriate kernels during the learning phase. Data-Variant Kernel Analysis is a new pattern analysis framework for different types of data configurat
588 ## -
-- Description based upon print version of record.
650 #4 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Big data -- Mathematics.
650 #4 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Kernel functions.
655 #0 - INDEX TERM--GENRE/FORM
Genre/form data or focus term Electronic books.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Bogucka, Hanna.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Wiley,.
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Print version:
Main entry heading Motai, Yuichi
Title Data-Variant Kernel Analysis
Place, publisher, and date of publication Somerset : Wiley,c2015
International Standard Book Number 9781119019329
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="http://uttyler.eblib.com/patron/FullRecord.aspx?p=1895925">http://uttyler.eblib.com/patron/FullRecord.aspx?p=1895925</a>
Link text Click here to view this ebook.
901 ## - LOCAL DATA ELEMENT A, LDA (RLIN)
Platform EBL
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Electronic Book
Source of classification or shelving scheme
Holdings
Withdrawn status Lost item Source of classification or shelving scheme Damaged status Not for loan Permanent Location Current Location Shelving location Date acquired Full call number Barcode Date last seen Uniform Resource Identifier Price effective from Koha item type
          UT Tyler Online UT Tyler Online Online 2015-05-20 QA353 .K47 M68 2015 EBL1895925 2015-05-20 http://uttyler.eblib.com/patron/FullRecord.aspx?p=1895925 2015-05-20 Electronic Book