1. In general, to have a well-defined learning problem, we must identity which of the following

A) The class of tasks
B) The measure of performance to be improved
C) The source of experience
D) All of the above



2. A 3-input neuron has weights 1, 4 and 3. The transfer function is linear with the constant of proportionality being equal to 3. The inputs are 4, 8 and 5 respectively. What will be the output?

A) 139
B) 153
C) 162
D) 160



3. Applications of NN (Neural Network)

A) Risk management
B) Data validation
C) Sales forecasting
D) All of the above



4. Advantage of Decision Trees

A) Possible Scenarios can be added
B) Use a white box model, if given result is provided by a model
C) Worst, best and expected values can be determined for different scenarios
D) All of the above



5. Bayesian networks allow compact specification of:

A) Joint probability distributions
B) Belief
C) Propositional logic statements
D) All of the above