Cantitate/Preț
Produs
Total produse
Vezi coșul
Machine Learning and Interpretation in Neuroimaging: 4th International Workshop, MLINI 2014, Held at NIPS 2014, Montreal, QC, Canada, December 13, 2014, Revised Selected Papers de Irina Rish

Machine Learning and Interpretation in Neuroimaging: 4th International Workshop, MLINI 2014, Held at NIPS 2014, Montreal, QC, Canada, December 13, 2014, Revised Selected Papers: Lecture Notes in Computer Science, cartea 9444

Editat de Irina Rish, Georg Langs, Leila Wehbe, Guillermo Cecchi, Kai-min Kevin Chang, Brian Murphy
en Limba Engleză Paperback – 13 sep 2016
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.
Citește tot Restrânge

Din seria Lecture Notes in Computer Science

Preț: 26324 lei

Preț vechi: 32905 lei
-20% Nou

Puncte Express: 395
Preț estimativ în valută:
5038€ • 5248$ • 4189£

Carte tipărită la comandă

Livrare economică 11-25 februarie 25

 Adaugă în coș

Wish list
Gift list
Am citit!
Adaugă în listă
Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9783319451732
ISBN-10: 3319451731
Pagini: 132
Ilustrații: X, 129 p. 30 illus.
Dimensiuni: 155 x 235 x 8 mm
Greutate: 0.2 kg
Ediția:1st ed. 2016
Editura: Springer International Publishing
Colecția Springer
Seriile Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence

Locul publicării:Cham, Switzerland

Cuprins

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.
 

Caracteristici

Includes supplementary material: sn.pub/extras