Natural Language Processing Engineer Question:
Tell me what are the different methods for Sequential Supervised Learning?
Answer:
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
☛ 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
| Previous Question | Next Question |
| Tell me what is sequence learning? | Tell us what is bias-variance decomposition of classification error in ensemble method? |