What are the different methods for Sequential Supervised Learning?
2 years ago
Machine Learning
The different methods to solve Sequential Supervised Learning problems are
- Sliding-window methods
- Recurrent sliding windows
- Hidden Markow models
- Maximum entropy Markow models
- Conditional random fields
- Graph transformer networks
Sanisha Maharjan
Jan 10, 2022