Machine Learning and Interpretation in Neuroimaging 4th International Workshop, MLINI 2014, Held at NIPS 2014, Montreal, QC, Canada, December 13, 2014, Revised Selected Papers /

This book constitutes the revised selected papers from the 4th International Workshop on Machine Learning and Interpretation in Neuroimaging, MLINI 2014, held in Montreal, QC, Canada, in December 2014 as a satellite event of the 11th annual conference on Neural Information Processing Systems, NIPS 2...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Rish, Irina (Editor ), Langs, Georg (Editor ), Wehbe, Leila (Editor ), Cecchi, Guillermo (Editor ), Chang, Kai-min Kevin (Editor ), Murphy, Brian (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cham : Springer International Publishing : Imprint: Springer, 2016.
Edición:1st ed. 2016.
Colección:Lecture Notes in Artificial Intelligence, 9444
Temas:
Pattern recognition systems.
Computer vision.
Artificial intelligence.
Application software.
Computer science > Mathematics.
Mathematical statistics.
Data mining.
Automated Pattern Recognition.
Computer Vision.
Artificial Intelligence.
Computer and Information Systems Applications.
Probability and Statistics in Computer Science.
Data Mining and Knowledge Discovery.
Acceso en línea:Texto Completo
Descripción
Sumario:This book constitutes the revised selected papers from the 4th International Workshop on Machine Learning and Interpretation in Neuroimaging, MLINI 2014, held in Montreal, QC, Canada, in December 2014 as a satellite event of the 11th annual conference on Neural Information Processing Systems, NIPS 2014. The 10 MLINI 2014 papers presented in this volume were carefully reviewed and selected from 17 submissions. They were organized in topical sections named: networks and decoding; speech; clinics and cognition; and causality and time-series. In addition, the book contains the 3 best papers presented at MLINI 2013.
Descripción Física:X, 129 p. 30 illus. online resource.
ISBN:9783319451749
ISSN:2945-9141 ;

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