Consider a fuzzy inference system cosisting two fuzzy laws as follow, if u is A, and v is B₁, thenw is C₁ if u is A, and vis B₂, thenw is C₂

Q: probabilistic

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A: The answer is as follows

Q: S PP VP VP VP VP P ↑ NP VP P NP VP NP VP PP types program with 1.0 1.0 0.3 0.3 0.15 0.25 1.0 NP →>>…

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A: We need to find if the given sentences are tautology, contradiction, or contingent sentence.

Q: ((P→R)∧(Q→Z))∧(P∨Q)→(Z∨R)

A: Consider the given expression ((P→R)∧(Q→Z))∧(P∨Q)→(Z∨R)

Q: Prove the soundness of the following inference rule (called Modus Tollens) (P → Q), ¬ Q = ¬P

A: We have to Prove that the soundness of the inference rule (called Modus Tollens) :

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Q: 1 Compute probability of current state 2 compute the probability of observation sequence 3 Improve…

A: The answer is

Q: Consider a knowledge base (KB) shown in Figure4. Assume that the initial fact base from a user is {Q…

A: Consider a knowledge base (KB) shown in Figure4. Assume that the initial fact base from a user is {Q…

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Q: e that IR2 of the Armstrong Inference Rules is correct (sound).

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A: The answer for the above question is given in the following step for your reference.

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Q: Show that the fuzzy rule "If x is A OR y is B then z is C" is equivalent to the union of the two…

A: Let A be x is A, C be Z is C and B be y is B. The statement 'If y is B then z is C' can be written…

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Q: Prove the validity of the following arguments with inference rules: (a) p^ q, rFqar (b) p →q, r→pF-q…

A:

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Q: In the context of supervised learning, which of the following is not true?

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A: RBF NN   Radial Basis Function Neutral Network аre  а  соmmоnly  used  tyрe  оf  аrtifiсiаl  neurаl…

Q: Computer Science Suppose we have 3 independent classifiers, each of which can correctly predict the…

A:

Q: Assume that u(x,y)=x2+y2u(x,y)=x2+y2, y(r,t)=rsin(t)y(r,t)=rsin⁡(t) and…

A: Let's see the solution  in the next steps

Q: We know that A1,A2,..,An EA if and only if A is true in all worlds where each of A1, A2, .., An are…

A: Let's see the solution in the next steps

Q: Classic statistical inference is based on the following three fundamental assumptions.What are they?

A: The above question is solved in step 2 :-

Q: In the Bayesian Network below, is it guaranteed that G is independent of B given C, E, D? Explain…

A:

Q: Inference question in discrete mathematics. Use the example solution in the picture to solve this…

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A: ANSWER: Markov Algorithm:

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Q: For questions 2-4, please refer to the neural network equations below: "- xw "-(my -"wn -(") -E-…

A: Let's see the solution in the next steps