What are the different methods for Sequential Supervised 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