Tell me what are the different methods for Sequential Supervised Learning?

Submitted by: Muhammad
The different methods to solve Sequential Supervised Learning problems are

☛ a) Sliding-window methods
☛ b) Recurrent sliding windows
☛ c) Hidden Markow models
☛ d) Maximum entropy Markow models
☛ e) Conditional random fields
☛ f) Graph transformer networks
Submitted by: Muhammad

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