Apress eBooks· 2015· Book chapter
Support Vector Regression
- 1,454citations
- 2015year
Short summary
Support Vector Regression (SVR) adapts Support Vector Machines for real-value function estimation, ignoring errors within a defined threshold and penalizing only those outside.
AI-generated from the title and abstract; the full text is not read.
TakeawaysIn the app
Key pointsIn the app
Ask the paperIn the app
The rest is in the Pofolia app
Takeaways, key points and questions to the paper; new summaries every day for your field. Free.
Sign in on the web to openField: Control and Systems Engineering
Control and Systems EngineeringEngineering