Assess the presentations including material and exercises in scale
0..20 p. The main concern is how well you have learnt the most important
things. You can give directly the total points or assess presentation
(max 10 p), material (max 5 p) and exercises (max 5 p) separately. If
you feel it is very hard to give any exact points, then at least write
some comments! If you have missed the presentation, you can still
assess the material and exercises. Thank you!
| Date | Topic | Presentation | Material (slides) | Exercises |
|---|---|---|---|---|
| 28.9. | Adrian Lemiere and Antti Mikkonen: Fuzzy logic | |||
| Anahit Poghosova and Fedor Nikitin: Dempster-Shafer theory | ||||
| Konstantin Petrukhnov and Maxim Mozgovoy: Decision trees | ||||
| 5.10. | Alfiya Ahmetova, Alina Gutnova and Carolina Islas: Truth maintenance systems | |||
| Jesse Hauninen and Matti Hyvärinen: Bayesian networks (general) | ||||
| Mikko Vinni and Ahmed Hashim: Naive Bayes classifiers | ||||
| 12.10. | Belinda Ngasia Wafula: Case-based reasoning | |||
| Lukasz Rakoczy and Tersia Gowases: Genetic algorithms | ||||
| Yuriy Lakhtin and Maxim Dudochkin: Hidden Markov Models | ||||
| 19.10. | Lukas Obrdlik and Marek Winkler: Neural networks | |||
| Dominik Wisniewski and Wojciech Wawrzyniak : Support vector machines |