Applications of Computational Intelligence Methods > Applications of Computational Intelligence Methods

Applications of Computational Intelligence Methods

Published on Sept. 28, 2016, 9:51 p.m.
This seminar is currently taught in Czech only.

The source codes for the lessons of the seminar are available at GitHubu (in Czech only). You can also browse the notebooks with the notes and pictures there.

Tentative schedule

Date Topic
6. 10. Visualization and model evaluation
13. 10. Feature extraction and selection
20. 10. Linear models
27. 10. Kernel methods
3. 11. Deep networks (convNet, Stacked AE)
10. 11. Deep networks (LSTM, word2vec)
24. 11. Deep reinforcement learning
1. 12. Ensembles
8. 12. Semi-supervised learning
15. 12. Meta-learning (grid search, evolution)
5. 1. Combination of EA and ML (surrogate models)
12. 1. CMA-ES + constraints in EA

Credit requirements

You will obtain the credit for team work during the seminar. The idea is that you will work in teams of 2-3 students and each group will have around 4 presentation during the term (approx. 5 minutes each) about the results you were able to obtain using the methods from the seminar. The goal is to show, what you could do and provide inspiration for others hot to solve problems and present the results.