CS607-Artificial Intelligence Quiz MCQS #Objective #Questions #FinalTerm

1. Inductive Learning is based on the knowledge that if something happens a lot it is likely to be generally ___

- True ✔
- False
- Ambiguous
- None

2. If the antecedent is only partially true, then the output fuzzy set is truncated according to the ___ method.

- Intrinsic
- Implication ✔
- Boolean
- None

3. The input of aggregation process is the list of truncated output functions returned by the ___ process for each rule.

- Truncation
- Implication ✔
- Aggregation
- None

4. ___ learning works on existing facts and knowledge and deduces new knowledge from the old.

- Deductive ✔
- Inductive
- Application
- None

5. Machine learning typically follows ___ phases according to Finlay.

- Two
- Three ✔
- Four
- Five

6. Which one is NOT the phase of machine learning:

- Training
- Application
- Validation
- None ✔

7. In theoretical computer science there are two main branches of problems.

- Tractable and Intractable ✔
- Intractable and Induction
- Tractable and Induction
- None

8. ___ is the process by which the fuzzy sets that represent the outputs of each rule are combined into a single fuzzy set.

- Aggregation ✔
- Fuzzification
- Implication
- None

9. Outputs of learning are determined by the ___

- Application ✔
- Validation
- Training
- None

10. ___ is the process of formulating the mapping from a given input to an output using Fuzzy logic.

- FIZ
- FIS ✔
- FOS
- None

- Million
- Billion ✔
- Trillion
- None

12. A single Perceptron simply draws a line, which is a hyper plane when the data is ___ than/to two (2) dimensional.

- More ✔
- Less
- Equal
- None

13. In Candidate-Elimination algorithm version space is represented by two sets named:

- G and S ✔
- G and F
- S and F
- H and S

14. The first step of FIND-S is to initialize h to the most specific hypothesis in ___ : h<>

- H ✔
- I
- J
- K

15. Decision trees give us disjunctions of conjunctions, that is, they have the form: (A AND B) ___ (C AND D)

- OR ✔
- AND
- XOR
- None

16. Interactive Dichotomizer uses a special function ___, to evaluate the gain information of each attribute.

- GAIN ✔
- GET
- FIND
- EVAL

17. Measure of the effectiveness of an attribute in classifying the training data is called

- Information Gain ✔
- Measure Gain
- Information Goal
- None

18. Artificial Neural Networks is a new learning paradigm which takes its roots from ___ inspired approach to learning.

- Chemistry
- Physics
- Biology ✔
- Mathematics

19. Which one is NOT the advantage of Neural Network

- Excellent for pattern recognition
- Excellent classifiers
- Handles noisy data well
- None ✔

20. In all calculations involving Entropy we define ___ to be ___

- 0 log 0, 0 ✔
- 0 log 10, 1
- 0 log 0, 1
- 1 log 1, 1