Selected Topics in Pattern Recognition
The course is not on the list Without time-table
| Code | Completion | Credits | Range |
|---|---|---|---|
| EP33ROZ | Z,ZK | 4 | 2+2s |
- Course guarantor:
- Lecturer:
- Tutor:
- Supervisor:
- Department of Cybernetics
- Synopsis:
-
Prerequisites: basic course in pattern recognition (e.g. P33ROD, 33RPZ). Selected topics: Anderson's problem, Kozince algorithm, kernel perceptron, nonlinear Fisher discriminant. Vapnik's learning theorz. Deterministic learning. Unsupervised learning: Robbins algorithm and emprirical Bayesian approach. Expectation-minimization algorithm. Recognition of sequences and directed acyclic graphs. Markov models. Combination of weak classifiers: boosting and bagging. AdaBoost.
- Requirements:
- Syllabus of lectures:
- Syllabus of tutorials:
- Study Objective:
- Study materials:
- Note:
- Further information:
- No time-table has been prepared for this course
- The course is a part of the following study plans: