Ensembles in Machine Learning Applications (Registro nro. 204451)

MARC details
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001 - NÚMERO DE CONTROL
control field u376571
003 - IDENTIFICADOR DEL NÚMERO DE CONTROL
control field SIRSI
005 - FECHA Y HORA DE LA ULTIMA TRANSACCIÓN
control field 20160812084419.0
007 - CAMPO FIJO DE DESCRIPCIÓN FIJA--INFORMACIÓN GENERAL
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008 - ELEMENTOS DE LONGITUD FIJA -- INFORMACIÓN GENERAL
fixed length control field 110830s2011 gw | s |||| 0|eng d
020 ## - NÚMERO INTERNACIONAL NORMALIZADO PARA LIBROS
International Standard Book Number 9783642229107
-- 978-3-642-22910-7
040 ## - FUENTE DE CATALOGACIÓN
Transcribing agency MX-MeUAM
050 #4 - SIGNATURA TOPOGRÁFICA DE LA BIBLIOTECA DEL CONGRESO
Classification number Q342
082 04 - NÚMERO DE CLASIFICACIÓN DECIMAL DEWEY
Classification number 006.3
Edition number 23
100 1# - ASIENTO PRINCIPAL--NOMBRE PERSONAL
Personal name Okun, Oleg.
Relator term editor.
245 10 - MENCIÓN DE TITULO
Title Ensembles in Machine Learning Applications
Medium [recurso electrónico] /
Statement of responsibility, etc. edited by Oleg Okun, Giorgio Valentini, Matteo Re.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Berlin, Heidelberg :
Name of producer, publisher, distributor, manufacturer Springer Berlin Heidelberg,
Date of production, publication, distribution, manufacture, or copyright notice 2011.
300 ## - DESCRIPCIÓN FÍSICA
Extent XX, 252 p.
Other physical details online resource.
336 ## - CONTENT TYPE
Content type term text
Content type code txt
Source rdacontent
337 ## - MEDIA TYPE
Media type term computer
Media type code c
Source rdamedia
338 ## - CARRIER TYPE
Carrier type term online resource
Carrier type code cr
Source rdacarrier
347 ## - DIGITAL FILE CHARACTERISTICS
File type text file
Encoding format PDF
Source rda
490 1# - MENCIÓN DE SERIE
Series statement Studies in Computational Intelligence,
International Standard Serial Number 1860-949X ;
Volume/sequential designation 373
505 0# - NOTA DE CONTENIDO
Formatted contents note From the content: Facial Action Unit Recognition Using Filtered Local Binary Pattern Features with Bootstrapped and Weighted ECOC Classifiers -- On the Design of Low Redundancy Error-Correcting Output Codes -- Minimally-Sized Balanced Decomposition Schemes for Multi-Class Classification -- Bias-Variance Analysis of ECOC and Bagging Using Neural Nets -- Fast-ensembles of Minimum Redundancy Feature Selection.
520 ## - NOTA DE RESUMEN, ETC.
Summary, etc. This book contains the extended papers presented at the 3rd Workshop on Supervised and Unsupervised Ensemble Methods and their Applications (SUEMA) that was held in conjunction with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2010, Barcelona, Catalonia, Spain). As its two predecessors, its main theme was ensembles of supervised and unsupervised algorithms – advanced machine learning and data mining technique. Unlike a single classification or clustering algorithm, an ensemble is a group of algorithms, each of which first independently solves the task at hand by assigning a class or cluster label (voting) to instances in a dataset and after that all votes are combined together to produce the final class or cluster membership. As a result, ensembles often outperform best single algorithms in many real-world problems.   This book consists of 14 chapters, each of which can be read independently of the others. In addition to two previous SUEMA editions, also published by Springer, many chapters in the current book include pseudo code and/or programming code of the algorithms described in them. This was done in order to facilitate ensemble adoption in practice and to help to both researchers and engineers developing ensemble applications.
596 ## -
-- 19
650 #0 - ASIENTO SECUNDARIO DE MATERIA - TERMINO TEMÁTICO
Topical term or geographic name as entry element Engineering.
650 #0 - ASIENTO SECUNDARIO DE MATERIA - TERMINO TEMÁTICO
Topical term or geographic name as entry element Artificial intelligence.
650 14 - ASIENTO SECUNDARIO DE MATERIA - TERMINO TEMÁTICO
Topical term or geographic name as entry element Engineering.
650 24 - ASIENTO SECUNDARIO DE MATERIA - TERMINO TEMÁTICO
Topical term or geographic name as entry element Computational Intelligence.
650 24 - ASIENTO SECUNDARIO DE MATERIA - TERMINO TEMÁTICO
Topical term or geographic name as entry element Artificial Intelligence (incl. Robotics).
700 1# - ASIENTO SECUNDARIO - NOMBRE PERSONAL
Personal name Valentini, Giorgio.
Relator term editor.
700 1# - ASIENTO SECUNDARIO - NOMBRE PERSONAL
Personal name Re, Matteo.
Relator term editor.
710 2# - ASIENTO SECUNDARIO - NOMBRE CORPORATIVO
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
Relationship information Printed edition:
International Standard Book Number 9783642229091
830 #0 - ASIENTO SECUNDARIO DE SERIE--TITULO UNIFORME
Uniform title Studies in Computational Intelligence,
International Standard Serial Number 1860-949X ;
Volume number/sequential designation 373
856 40 - LOCALIZACIÓN Y ACCESO ELECTRÓNICOS
Public note Libro electrónico
Uniform Resource Identifier <a href="http://148.231.10.114:2048/login?url=http://link.springer.com/book/10.1007/978-3-642-22910-7">http://148.231.10.114:2048/login?url=http://link.springer.com/book/10.1007/978-3-642-22910-7</a>
942 ## - TIPO DE MATERIAL (KOHA)
Koha item type Libro Electrónico
Existencias
Estado de retiro Fuente de clasificación Colección Ubicación permanente Ubicación actual Fecha de ingreso Total Checkouts Signatura topográfica Código de barras Date last seen Número de copia Tipo de material
    Colección de Libros Electrónicos Biblioteca Electrónica Biblioteca Electrónica     Q342 376571-2001 12/08/2016 1 Libro Electrónico

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