21) In an Unsupervised learning

22) Inductive learning involves finding a

23) Computational learning theory analyzes the sample complexity and computational complexity of

24) If a hypothesis says it should be positive, but in fact, it is negative, we call it

25) Neural Networks are complex ______________with many parameters.

26) A perceptron is a ______________

27) A 3-input neuron is trained to output a zero when the input is 110 and a one when the input is 111. After generalization, the output will be zero when and only when the input is

28) A perceptron is:

29) An auto-associative network is:

30) A 4-input neuron has weights 1, 2, 3 and 4. The transfer function is linear with the constant of proportionality being equal to 2. The inputs are 4, 10, 5 and 20 respectively. The output will be: