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home / developersection / interviews / what are the different methods for sequential supervised learning ?
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Prakash nidhi Verma
Prakash nidhi Verma

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UG student at IIIT- Jabalpur. internship at Mindstick.

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Prakash nidhi Verma
Prakash nidhi Verma 27 Jun 2018
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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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