Differences
This shows you the differences between two versions of the page.
| Both sides previous revisionPrevious revision | Next revisionBoth sides next revision | ||
| teaching:le-ki2-ws18 [2018/09/11 08:21] – nyga | teaching:le-ki2-ws18 [2018/09/11 08:22] – nyga | ||
|---|---|---|---|
| Line 21: | Line 21: | ||
| Die Inhalte sind im Einzelnen: | Die Inhalte sind im Einzelnen: | ||
| - | * Probabilistische Wissensverarbeitung | + | |
| - | * Wahrscheinlichkeitstheorie | + | * Wahrscheinlichkeitstheorie |
| - | * Bayes' | + | * Bayes' |
| - | * Markov-Netze | + | * Markov-Netze |
| - | * Probabilistische Klassifikation und Regression | + | |
| - | * Naive Bayes | + | * Naive Bayes |
| - | * Logistic Regression | + | * Logistic Regression |
| - | * Bayesian Linear Regression | + | * Bayesian Linear Regression |
| - | * Probabilistisches Schließen über die Zeit | + | |
| - | * Hidden Markov Models (HMM) | + | * Hidden Markov Models (HMM) |
| - | * Conditional Random Fields (CRF) | + | * Conditional Random Fields (CRF) |
| - | * Statistical Relational Learning | + | |
| - | * Markov Logic Networks (MLN) | + | * Markov Logic Networks (MLN) |
| - | * Ensemble-basierte Lernalgorithmen | + | |
| - | * Adaptive Boosting | + | * Adaptive Boosting |
| - | * Random Forests | + | * Random Forests |
Prof. Dr. hc. Michael Beetz PhD
Head of Institute
Contact via
Andrea Cowley
assistant to Prof. Beetz
ai-office@cs.uni-bremen.de
Discover our VRB for innovative and interactive research
Memberships and associations:
Social Media:
