midSVM
What is SMO algorithm in SVM?
Updated May 17, 2026
Short answer
SMO (Sequential Minimal Optimization) is an algorithm used to efficiently solve SVM optimization problems.
Deep explanation
SMO breaks down large quadratic optimization into smaller problems involving two variables at a time, making computation faster and scalable.
Real-world example
Used in large-scale text classification systems.
Common mistakes
- Assuming SVM training is a single-step process.
Follow-up questions
- Why two variables at a time?
- Is SMO still used?