CS 6601 assignment 6 fall 2020 full document Georgia Institute Of Technology
CS 6601 assignment 6 fall 2020 full document Georgia Institute Of Technology**The assignment is not yet released for the Fall 2019 and might be subject to change.** # CS 6601: Artificial Intelligence - Assignment 6 - Hidden Markov Models ## Setup Clone this repository: `git clone The submission scripts depend on the presence of 3 python packages - `requests`, `future`, and `nelson`. Install them using the command below: `pip install -r ` Python 3.7 is recommended and has been tested. Read [](./) for more information on how to effectively manage your git repository and troubleshooting information. ## Overview Hidden Markov Models are used extensively in Artificial Intelligence, Pattern Recognition, Computer Vision, and many other computer fields. If a system has unobservable (hidden) states and each state is independent of the prior, then we can create a model of that system using probability distributions over a sequence of observations. The idea is that we can provide this system with a series of observations to use to query what is the most likely sequence of states that generated these observations.
Escuela, estudio y materia
- Institución
- Georgia Institute Of Technology
- Grado
- CS 6601
Información del documento
- Subido en
- 5 de agosto de 2021
- Número de páginas
- 8
- Escrito en
- 2023/2024
- Tipo
- Otro
- Personaje
- Desconocido
Temas
-
assignment 6
-
cs 6601
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