Find it here: http://ercim-news.ercim.eu/en108. See in particular Convolutional Network Layers Map the Function of the Human Visual Cortex and Subsampling Enables Fast Factorisation of Huge Matrices into Sparse Signals.
Enjoy the reading !
Find it here: http://ercim-news.ercim.eu/en108. See in particular Convolutional Network Layers Map the Function of the Human Visual Cortex and Subsampling Enables Fast Factorisation of Huge Matrices into Sparse Signals.
Enjoy the reading !
www.psych.mpg.de/2219362/Multivariate_WS_Agenda.pdf
Great opportunity to discuss multivariate statistical analysis and its relationship to brain imaging genetics, and prediction of behavior.
Gael gave a lecture entitled “Machine learning extracts neuro-phenotypes from the brain at rest” at GDR Isis. More information here: http://www.gdr-isis.fr/index.php?page=reunion&idreunion=320
Loic Estève is taking part to the event, organized by Inria. https://www.facebook.com/Inria.fr/posts/1201355083241139
Loic will discuss recent developments in Scikit Learn and Joblib.
http://budapestbiforum.hu/2016/en/x-presentations/recent-developments-in-scikit-learn-and-joblib-loic-esteve-inria/
Bertrand discussed the role of big data approaches in neuroimaging (Oct 8th).
https://itneuro.aviesan.fr/index.php?pagendx=999
Arthur has given a presentation at the recommender meet-up (http://recommenders.fr) at Criteo on October 6th to present his recent work on fast large-scale sparse matrix factorization. The slides are here: http://www.slideshare.net/recsysfr/dictionary-learning-for-massive-matrix-factorization.
Olivier will discuss the practical use of machine learning for data analysis:
https://experiences.microsoft.fr/Event/session/machine-learning-etat-de-lart-et-mise-en-oeuv/455f41ea-7f43-e611-80c3-000d3a222f59#htruJsDxFaEcLUSy.97
See more information here. May thanks to the development team !