The following assignment needs to be done in MATLAB.

I really need help writing the algorithm to find the incomplete data. I learn best by example, so some example code would help me a lot. You can download the bnt toolbox I'm using at https://drive.google.com/file/d/1OhPuCp1V1rgeQXYdKkGSp5NXRDAvdhOy/view?usp=sharing

Bayesian Networks - Parameter Learning by Expectation Maximization Consider the following Bayes Net All the variables are binary here. Pr- pregnancy, Bt- blood test. Ut - urine test. Use the following incomplete data to compute P(Pr). P(BtPr), and P(UtPr). Missing entry is denoted by '*" in the table. Cases Pr Bt Ut Pos PoS 2. 3. 4. Yes NegPos Yes Pos Yes Pos Neg Neg PL (70%) Write your own Matlab program of expectation maximization (EM) algorithm to find the above probabilities P2. (2000) Use Kevin Murphy's Bayes Net Matlab toolbox (http://www.cs.ubc.ca/-murphyk/Software/BNT/bnt.html) to compute the same probabilities P3. (10%) Compute P(Bt-PosUt-Neg) Make anv reasonable assumptions if vou need to Bayesian Networks - Parameter Learning by Expectation Maximization Consider the following Bayes Net All the variables are binary here. Pr- pregnancy, Bt- blood test. Ut - urine test. Use the following incomplete data to compute P(Pr). P(BtPr), and P(UtPr). Missing entry is denoted by '*" in the table. Cases Pr Bt Ut Pos PoS 2. 3. 4. Yes NegPos Yes Pos Yes Pos Neg Neg PL (70%) Write your own Matlab program of expectation maximization (EM) algorithm to find the above probabilities P2. (2000) Use Kevin Murphy's Bayes Net Matlab toolbox (http://www.cs.ubc.ca/-murphyk/Software/BNT/bnt.html) to compute the same probabilities P3. (10%) Compute P(Bt-PosUt-Neg) Make anv reasonable assumptions if vou need to