04869nam 22008055 450 991048384030332120230810190438.03-319-45174-X10.1007/978-3-319-45174-9(CKB)3710000000872897(DE-He213)978-3-319-45174-9(MiAaPQ)EBC5577499(PPN)195510690(EXLCZ)99371000000087289720160912d2016 u| 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierMachine Learning and Interpretation in Neuroimaging 4th International Workshop, MLINI 2014, Held at NIPS 2014, Montreal, QC, Canada, December 13, 2014, Revised Selected Papers /edited by Irina Rish, Georg Langs, Leila Wehbe, Guillermo Cecchi, Kai-min Kevin Chang, Brian Murphy1st ed. 2016.Cham :Springer International Publishing :Imprint: Springer,2016.1 online resource (X, 129 p. 30 illus.) Lecture Notes in Artificial Intelligence,2945-9141 ;94443-319-45173-1 Includes bibliographical references and index.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. .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.Lecture Notes in Artificial Intelligence,2945-9141 ;9444Pattern recognition systemsComputer visionArtificial intelligenceApplication softwareComputer scienceMathematicsMathematical statisticsData miningAutomated Pattern RecognitionComputer VisionArtificial IntelligenceComputer and Information Systems ApplicationsProbability and Statistics in Computer ScienceData Mining and Knowledge DiscoveryPattern recognition systems.Computer vision.Artificial intelligence.Application software.Computer scienceMathematics.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.006.31Rish Irinaedthttp://id.loc.gov/vocabulary/relators/edtLangs Georgedthttp://id.loc.gov/vocabulary/relators/edtWehbe Leilaedthttp://id.loc.gov/vocabulary/relators/edtCecchi Guillermoedthttp://id.loc.gov/vocabulary/relators/edtChang Kai-min Kevinedthttp://id.loc.gov/vocabulary/relators/edtMurphy Brianedthttp://id.loc.gov/vocabulary/relators/edtMiAaPQMiAaPQMiAaPQBOOK9910483840303321Machine Learning and Interpretation in Neuroimaging2829824UNINA