The data used for Figure can be viewed as being generated by h5. For each of the other four hypotheses, generate a data set of length 100 and plot the corresponding graphs for P (hi│d1... dm) and P (D m + 1 = lime│d1. . . dm). Comment on your results.
Answer to relevant QuestionsRepeat Exercise 20.1, this time plotting the values of P (D m+1 = lime│h MAP) and P (D m+1 = lime│hML).Consider the noisy-OR model for fever described in Section 14.3. Explain how to apply maximum-likelihood learning to fit the parameters of such a model to a set of complete data.Recall from that there are 22n distinct Boolean functions of n inputs. How many of these are representable by a threshold perceptron?Defined a proper policy for an MDP as one that is guaranteed to reach a terminal state, show that it is possible for a passive ADP agent to learn a transition model for which its policy π is improper even if π is ...Investigate the application of reinforcement learning ideas to the modeling of human and animal behavior.
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