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

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

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