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
Tabla de Contenidos:
  • Networks and Decoding
  • Multi-Task Learning for Interpretation of Brain Decoding Models
  • The New Graph Kernels on Connectivity Networks for Identification of MCI
  • Mapping Tractography Across Subjects
  • Speech
  • Automated speech analysis for psychosis evaluation
  • Combining different modalities in classifying phonological categories
  • Clinics and cognition
  • Label-alignment-based Multi-task Feature Selection for Multimodal Classification of Brain Disease
  • Leveraging Clinical Data to Enhance Localization of Brain Atrophy
  • Estimating Learning Effects: A Short-Time Fourier Transform Regression Model for MEG Source Localization
  • Causality and time-series
  • Classification-based Causality Detection in Time Series
  • Fast and Improved SLEX Analysis of High-dimensional Time Series
  • Best paper awards: MLINI 2013
  • Predicting Short-Term Cognitive Change from Longitudinal Neuroimaging Analysis
  • Hyperalignment of Multi-Subject fMRI Data by Synchronized Projections
  • An oblique approach to prediction of conversion to Alzheimer's Disease with multikernel Gaussian Processes. .

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