Signal processing theory and machine learning [recurso electrónico] / editors, Paulo S.R. Diniz, Program of Electrical Engineering and the Department of Electronics and Computer Engineering, COPPE/Poli, Universidade Federal do Rio de Janeiro, Brazil, [and three others].

Colaborador(es): Diniz, Paulo S. RTipo de material: Texto

TextoSeries Academic Press library in signal processing ; volume 1Editor: Amsterdam : Elsevier/Academic Press, 2014Edición: First editionDescripción: 1 online resource (1559 pages) : illustrations, portraits (some color)Tipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9780123972262 (electronic bk.); 0123972264 (electronic bk.)Tema(s): Signal processing | Machine learning | TECHNOLOGY & ENGINEERING / Mechanical | Machine learning | Signal processingGénero/Forma: Electronic books.Formatos físicos adicionales: Sin títuloClasificación CDD: 621.3822 Clasificación LoC:TK5102.9 | .S54 2014ebRecursos en línea: Libro electrónico ScienceDirect Texto

Contenidos:

Section 1. Signal processing theory -- section 2. Machine learning.

Resumen: This first volume of a four volume set, edited and authored by world leading experts, gives a review of the principles, methods and techniques of important and emerging research topics and technologies in machine learning and advanced signal processing theory. With this reference source you will: Quickly grasp a new area of research. Understand the underlying principles of a topic and its applicationAscertain how a topic relates to other areas and learn of the research issues yet to be resolved Quick tutorial reviews of important and emerging topics of research in machine learningPresents core principles in signal processing theory and shows their applicationsReference content on core principles, technologies, algorithms and applications Comprehensive references to journal articles and other literature on which to build further, more specific and detailed knowledge Edited by leading people in the field who, through their reputation, have been able to commission experts to write on a particular topic.

Existencias ( 1 )
Notas de título ( 5 )

Existencias
Tipo de ítem	Biblioteca actual	Colección	Signatura	Copia número	Estado	Fecha de vencimiento	Código de barras
Libro Electrónico	Biblioteca Electrónica	Colección de Libros Electrónicos	TK5102.9 .S54 2014 EB (Browse shelf(Abre debajo))	1	No para préstamo		380183-2001

Includes bibliographical references and index.

Section 1. Signal processing theory -- section 2. Machine learning.

Description based on online resource; title from PDF title page (ebrary, viewed October 14, 2013).

This first volume of a four volume set, edited and authored by world leading experts, gives a review of the principles, methods and techniques of important and emerging research topics and technologies in machine learning and advanced signal processing theory. With this reference source you will: Quickly grasp a new area of research. Understand the underlying principles of a topic and its applicationAscertain how a topic relates to other areas and learn of the research issues yet to be resolved Quick tutorial reviews of important and emerging topics of research in machine learningPresents core principles in signal processing theory and shows their applicationsReference content on core principles, technologies, algorithms and applications Comprehensive references to journal articles and other literature on which to build further, more specific and detailed knowledge Edited by leading people in the field who, through their reputation, have been able to commission experts to write on a particular topic.