What are the different methods for Sequential Supervised Learning ?

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  1. What are the different methods for Sequential Supervised Learning ?

    The different methods to solve Sequential Supervised Learning problems are given below : 

    - Sliding-window methods

    - Recurrent sliding windows

    - Hidden Markow models

    - Maximum entropy Markow models

    - Conditional random fields

    - Graph transformer networks


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