Explain how the probabilistic and deterministic methods to Ethernet vary from one another.

Considering that normalized connections often emerge as the consequence of interactions between EERs, why is normalization so important?

For a single-layer perceptron, which statement is true for a viable error function? Here w.x denotes the weighted sum of inputs. E=1 for any input for which the output is 1 and the classification is incorrect. E=-w.x for any input for which the output is 1 and the classification is correct. E=-1 for any input for which the output is 1 and the classification is correct. E=w.x for any input for which the output is 1 and the classification is incorrect.

Convert the NFA defined by 6(q0, a) = {qo, q1} 8(q1,b) = {q1, q2} 8(q2, a) = {q2} With initial state qo and final state q2 into an equivalent DFA