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DTSTART;TZID=Europe/Berlin:20161107T154500
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DTSTAMP:20161013T150417Z
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UID:371-1478533500-1478539800@alop.uni-trier.de
SUMMARY:ALOP Colloquium with Prof. Dr. Maria Dolores Ugarte
DESCRIPTION:On November 7\, 2016\,  Prof. Dr. Maria Dolores Ugarte  from the Universidad Publica de Navarra  will join the ALOP-Colloquium and present her recent work:  \nTitle:  Analyzing cancer mortality in small areas using Bayesian B-splines   \n Abstract: In recent years\, models incorporating splines have been considered for smoothing risks in disease mapping.  Although these models are very fexible\, they can be computationally demanding in certain cases. In this talk\, several models including one\, two\, and three dimensional B-splines (penalized or un-penalized) are proposed to analyze spatio-temporal risks. As computing time could be a limitation in real practice\, integrated nested Laplace approximations are considered for model fitting and inference. The complete set of proposed models are used to analyze cancer mortality data in small areas. \nAt 15:45 there will be a coffee hour in E10. At 16:15 the presentation will take place in HS9.
URL:https://alop.uni-trier.de/event/alop-colloquium-with-prof-dr-maria-dolores-ugarte/
LOCATION:Trier University\, E Building\, Universitätsring 15\, Trier\, Germany
CATEGORIES:Colloquium
ORGANIZER;CN="Research Training Group ALOP at Trier University":MAILTO:OptimizationDays@uni-trier.de
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DTSTART;TZID=Europe/Berlin:20161128T154500
DTEND;TZID=Europe/Berlin:20161128T174500
DTSTAMP:20161111T095249Z
CREATED:20160913T084634Z
LAST-MODIFIED:20161111T095249Z
UID:421-1480347900-1480355100@alop.uni-trier.de
SUMMARY:ALOP Colloquium with Dr. Benedikt Wilbertz
DESCRIPTION:On November 28\, 2016\,  Dr. Benedikt Wilbertz will join the ALOP-Colloquium and present his recent work entitled \n Hot Topics in Machine Learning \nAbstract \nThe history of machine learning goes back to the late 50s\, when the first perceptron models were created to build machines that lean from observations. \nIt took until the mid 80s that Yann LeCun constructed a neural network which can be considered as the first production read application of modern machine learning. \nSince then\, the field shifted its focus more towards statistics and probability theory\, which gave birth to bagging\, boosting and the random forest algorithm. \nOnly very recently and with the availability of huge training sets and the incredible computing power of GPGPU devices\, neural networks had a massive comeback as Deep Learning methods and established many new state of the art results in for speech recognition\, image analysis\, natural language processing etc. \nIn this talk we give an overview over the recent developments in the field Deep Learning\, but also present some new implementation of boosting algorithms and show some practical applications. \n\n\n\n \n\n\n\n At 15:45 there will be a coffee hour in E10. At 16:15 the presentation will take place in HS9.
URL:https://alop.uni-trier.de/event/alop-colloquium-with-dr-benedikt-wilbertz/
LOCATION:Trier University\, E Building\, Universitätsring 15\, Trier\, Germany
CATEGORIES:Colloquium
ORGANIZER;CN="Research Training Group ALOP at Trier University":MAILTO:OptimizationDays@uni-trier.de
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20161130T140000
DTEND;TZID=Europe/Berlin:20161130T160000
DTSTAMP:20161116T124512Z
CREATED:20161110T140711Z
LAST-MODIFIED:20161116T124512Z
UID:739-1480514400-1480521600@alop.uni-trier.de
SUMMARY:ALOP-Colloquium with Prof. Dr. Andreas Krause
DESCRIPTION:On Wednesday\, November 30\, 2016\,  Prof. Dr. Andreas Krause from the ETH Zurich will join the ALOP-Colloquium and present his recent work entitled \nSubmodularität und Machine Learning \n  \nAt 13:45 there will be a coffee hour in E-10. At 14:00 the presentation will take place in HS9.
URL:https://alop.uni-trier.de/event/alop-colloquium-with-prof-dr-andreas-krause/
LOCATION:Trier University\, E Building\, Universitätsring 15\, Trier\, Germany
CATEGORIES:Colloquium
ORGANIZER;CN="Research Training Group ALOP at Trier University":MAILTO:OptimizationDays@uni-trier.de
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