W | Date | Who | Topic |
1. | 23.02. | P.Pošík | The relations of AI, ML, and robotics (handouts). Pattern recognition, Bayesian and non-Bayesian tasks (handouts). |
2. | 01.03. | P.Pošík | Learning (handouts). Linear regression (handouts). |
3. | 08.03. | P.Pošík | Linear classification models. Logistic regression. Perceptron. (Handouts) Optimal separating hyperplane. Basis expansion. Support vector machine. (Handouts) |
4. | 15.03. | P.Pošík | Decision trees (handouts). |
5. | 22.03. | P.Pošík | Bias-variance trade-off. Crossvalidation. Regularization. (Handouts.) |
6. | 29.03. | P.Pošík | Adaboost (handouts). Feature selection and extraction. (Handouts.) |
7. | 05.04. | P.Pošík | Theory of learning, problems of consistency, capacity, PAC. (Handouts.) |
8. | 12.04. | P.Pošík | Sequential pattern recognition, Wald's algorithm (Handouts). Artificial life, principles, algorithms, applications (handouts). |
9. | 19.04. | R.Mařík | HTN |
10. | 26.04. | R.Mařík | Scheduling |
11. | 03.05. | R.Mařík | Inteligent agentsDecision theory |
12. | 10.05. | R.Mařík | Sequential decision making / Markov decision processes, value iteration, strategy iteration. |
13. | 17.05. | R.Mařík | Reinforcement learning: problem formulation, exploration vs. exploitation, bandit problems, sequential learning. |
14. | 24.05. | R.Mařík | Agent oriented programming: reactive planning, BDI architecture, AgentSpeak, Jason. |