One-Class Support Vector Machines (OC-SVMs)
Machine Learning · Further Education · Unsupervised Learning
This unit introduces One-Class Support Vector Machines (OC-SVMs), a powerful anomaly detection algorithm. Students will learn the concepts, applications, and implementation of OC-SVMs, enabling them to identify and isolate anomalies effectively.
Zum Üben gibt es 52 Aufgaben. Jede Antwort bekommt sofort eine Rückmeldung, kostenlos und ohne Anmeldung.
Das gehört dazu
- Introduction to Anomaly Detection
- One-Class Support Vector Machines (OC-SVMs)
- Mathematical Formulation of OC-SVMs
- Kernel Functions in OC-SVMs
- Evaluation of OC-SVM Performance
- Applications of OC-SVMs in Anomaly Detection
Stichworte
- Anomaly Detection
- OC-SVMs
- Support Vector Machines
- Unsupervised Learning
- Machine Learning
- Outlier Detection
- Novelty Detection
- One-Class Classification
- Hyperplane
- Kernel Functions