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Kernel-based Data Fusion for Machine Learning (Record no. 11467)

000 -LEADER
fixed length control field 03219nam a22004575i 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20140310143346.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr nn 008mamaa
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 110328s2011 gw | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783642194061
978-3-642-19406-1
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.3
Edition number 23
264 #1 -
-- Berlin, Heidelberg :
-- Springer Berlin Heidelberg,
-- 2011.
912 ## -
-- ZDB-2-ENG
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Yu, Shi.
Relator term author.
245 10 - IMMEDIATE SOURCE OF ACQUISITION NOTE
Title Kernel-based Data Fusion for Machine Learning
Medium [electronic resource] :
Remainder of title Methods and Applications in Bioinformatics and Text Mining /
Statement of responsibility, etc by Shi Yu, Léon-Charles Tranchevent, Bart Moor, Yves Moreau.
300 ## - PHYSICAL DESCRIPTION
Extent XIV, 214 p.
Other physical details online resource.
440 1# - SERIES STATEMENT/ADDED ENTRY--TITLE
Title Studies in Computational Intelligence,
International Standard Serial Number 1860-949X ;
Volume number/sequential designation 345
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Introduction -- Rayleigh quotient-type problems in machine learning -- Ln-norm Multiple Kernel Learning and Least Squares Support VectorMachines -- Optimized data fusion for kernel k-means Clustering -- Multi-view text mining for disease gene prioritization and clustering -- Optimized data fusion for k-means Laplacian Clustering -- Weighted Multiple Kernel Canonical Correlation -- Cross-species candidate gene prioritization with MerKator -- Conclusion.
520 ## - SUMMARY, ETC.
Summary, etc Data fusion problems arise frequently in many different fields.  This book provides a specific introduction to data fusion problems using support vector machines. In the first part, this book begins with a brief survey of additive models and Rayleigh quotient objectives in machine learning, and then introduces kernel fusion as the additive expansion of support vector machines in the dual problem.  The second part presents several novel kernel fusion algorithms and some real applications in supervised and unsupervised learning. The last part of the book substantiates the value of the proposed theories and algorithms in MerKator, an open software to identify disease relevant genes based on the integration of heterogeneous genomic data sources in multiple species. The topics presented in this book are meant for researchers or students who use support vector machines. Several topics addressed in the book may also be interesting to computational biologists who want to tackle data fusion challenges in real applications. The background required of the reader is a good knowledge of data mining, machine learning and linear algebra.  
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Engineering.
Topical term or geographic name as entry element Artificial intelligence.
Topical term or geographic name as entry element Bioinformatics.
Topical term or geographic name as entry element Engineering.
Topical term or geographic name as entry element Computational Intelligence.
Topical term or geographic name as entry element Artificial Intelligence (incl. Robotics).
Topical term or geographic name as entry element Computational Biology/Bioinformatics.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Tranchevent, Léon-Charles.
Relator term author.
Personal name Moor, Bart.
Relator term author.
Personal name Moreau, Yves.
Relator term author.
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer eBooks
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9783642194054
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-3-642-19406-1
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Item type E-Book
Copies
Price effective from Permanent location Date last seen Not for loan Date acquired Source of classification or shelving scheme Koha item type Damaged status Lost status Withdrawn status Current location Full call number
2014-04-01AUM Main Library2014-04-01 2014-04-01 E-Book   AUM Main Library006.3
Languages: 
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العربية