Statistical Horizons will host a 4-day remote seminar on Machine Learning with Dr. Kevin Grimm on Monday, May 24 – Thursday, May 27. With this course, you will receive a thorough hands-on introduction to machine learning methods, with topics like: cross-validation, multiple regression, basic variable selection methods, an overview of the R statistical framework, and […]
Archive for the ‘Congress’ Category
Live e-Lecture by Prof. John Shawe-Taylor: “An Introduction to PAC-Bayesian Analysis”, 18th May 2021 17:00-18:00 CET. Upcoming AIDA AI excellence lectures
May 12th, 2021
Daniela Lopez de Luise Prof. John Shawe-Taylor (University College London, UK), a prominent AI researcher internationally, will deliver the e-lecture: ‘An Introduction to PAC-Bayesian Analysis’, on Tuesday 18th May 2021 17:00-18:00 CET (8:00-9:00 am PST), (12:00 am-1:00am CST), see details in: http://www.i-aida.org/ai-lectures/ You can join for free using the zoom link: https://authgr.zoom.us/j/98708421450 & Passcode: 148148 The International AI […]
IEEE COINS 2021: Deadline Extended to May 21, 2021
May 12th, 2021
Daniela Lopez de Luise NEWS: Submission deadline for papers extended to May 21, 2021 (AOE); IEEE COINS 2021: IEEE International Conference on Omni-Layer Intelligent Systems Barcelona, Spain | August 23-25, 2021 Hybrid Event (On-site Presentation & Virtual Presentation) IEEE | IEEE RAS | IEEE CEDA | IEEE COMPUTER SOCIETY | VSA-TC IEEE CAS | E-HEALTH-TC […]
Modified Date: Invitation to join 2021 Spring School ‘CVML Short Course – Computer Vision for Autonomous Systems’, 26-27th May 2021 (6th edition)
May 12th, 2021
Daniela Lopez de Luise you are welcomed to register in this CVML Short e-course on ‘Computer Vision for Autonomous Systems’, 26–27th May 2021: https://icarus.csd.auth.gr/spring-cvml-short-course-computer-vision-for-autonomous-systems/ It will take place as a two-day e-course (due to COVID-19 circumstances), hosted by the Aristotle University of Thessaloniki (AUTH), Thessaloniki, Greece, providing a series of live lectures delivered through a tele-education platform. They will […]
Special issue on Causal Discovery and Causality-Inspired ML at IEEE TNNLS
May 12th, 2021
Daniela Lopez de Luise Special issue in the IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS) on Causal Discovery and Causality-Inspired Machine Learning Submission deadline ** October 22, 2021 **.




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