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preparing week 46

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Morten Hjorth-Jensen
2022-11-12 10:25:11 +01:00
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doc/src/week46/week46.do.txt
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@@ -24,37 +24,6 @@ o "Excellent videos on Gradient Boosting":"https://www.youtube.com/watch?v=3CC4N
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===== Friday =====
Last year we had a very interesting workshop with many presentations. These were (program 2020)
* Maria Emine Nylund: _Lego Bricks Classifier_
* Fabio Rodrigues Pereira: _Financial Machine Learning_
* Markus Borud Pettersen: _Machine Learning and Brain Grid Cells_
* Jing Sun and Endrias Getachew Asgedom: _Machine learning-based approaches to denoising microseismic data_
* Felicia Jacobsen: _Analysis of Breast Cancer Data_
* Simon Elias Schrader: _Predicting atomization energies of molecules_
* Varvara Bazilova and Sergio Andres Diaz Mesa: _Glacier Mapping and Machine Learning_
* Gert Werner Kluge, Hanna Alida Fossen Hardersen and Sushma Sharma Adhikari: _Gamma ray signals stemming from dark matter in the galactic center_
We wish to organize something similar this coming Friday. The presentation last typically 5-10 minutes (some 3-5 slides) with time for questions afterwards.
Feel free to suggest topics.
The program will be available asap. It depends on input from you!
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===== Workshop plan Friday November 19 and the rest of the lecture =====
o _1215-1225pm_: Are Frode Helvig Kvanum, Gard Høivang, and David Andreas Bordvik, *Next-day forecasts on spot prices for electricity*
o _1225-1235pm_: Lidia Luque, *Voxel-wise multi-label brain tumor classification*
o _1235-1245pm_: Marcus Berget et al, *Locating suspicious brain activity using neural networks*
o _1245-1255pm_: William Ho and Tom-Ruben Traavik Kvalvaag, *Comparing semi-supervised learning and supervised learning for image classification*
We will use the second part of the lecture for further discussions of projects 2 and 3 and a summary on boosting methods from last week. Feel free to bring your laptops.
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===== Support Vector Machines, overarching aims =====