1. Where: N: Number of model states A: Transition probability matrix B: Output probability matrix Pi: Initial state probability matrix T: Training data 2. Your Python code: def BaumWelch(N,A,B,Pi,T) : return [A,B,Pi] # Trained Model 3. Return re-estimated A, B and Pi matrices Notes: Your code must be original work - That is: it must not be a copy of code found online. Submit your python code in a separate file named “viterbi_.py" As Outlook filters out executable files, submit your work in a .zip file A write-up describing the Baum-Welch algorithm and your implementation of it Note: Be sure to list all references Your hand calculations for the first observation vector 1. 2. 3.

1. Where: N: Number of model states A: Transition probability matrix B: Output probability matrix Pi: Initial state probability matrix T: Training data 2. Your Python code: def BaumWelch(N,A,B,Pi,T) : return [A,B,Pi] # Trained Model 3. Return re-estimated A, B and Pi matrices Notes: Your code must be original work - That is: it must not be a copy of code found online. Submit your python code in a separate file named “viterbi_.py" As Outlook filters out executable files, submit your work in a .zip file A write-up describing the Baum-Welch algorithm and your implementation of it Note: Be sure to list all references Your hand calculations for the first observation vector 1. 2. 3.

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

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Question

1.
Your Python code: def BaumWelch(N,A,B,Pi,T) :
Where:
N: Number of model states A: Transition probability matrix
Pi: Initial state probability matrix
Return re-estimated A, B and Pi matrices
B: Output probability matrix
T: Training data
2.
3.
4.
<Calculate Viterbi score and best path here>
return [A,B,Pi] # Trained Model
Notes:
Your code must be original work - That is: it must not be a copy of code found online.
Submit your python code in a separate file named "viterbi_<LastName>.py"
As Outlook filters out executable files, submit your work in a .zip file
A write-up describing the Baum-Welch algorithm and your implementation of it
Note: Be sure to list all references
1.
2.
3.
Your hand calculations for the first observation vector
A sample run for each of the three observation vectors
Note: Your sample run for the 1st two observation vectors must match your hand calculations.

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