Unit 5 - 16 mark quest

                  

Unit 5

16 mark Questions

1. Explain in detail about Learning with Decision Tree?

2. Write about Explanation Based Learning?

3. Explain about Statistical Learning?

4. Explain in detail about Reinforcement Learning? 

5. a)    Give a brief overview on decision tree inductive learning algorithm. (16) 

6. Discuss the following:

       (i)     Passive reinforcement learning. (8)

       (ii)    Active reinforcement learning. (8)

Unit 5 - 2 mark quest

Unit 5

2 mark questions.

1. Define Learning Agent.
2. List out the 3 types of Machine Learning.
3. Define Supervised Learning.
4. Define UnSupervised Learning.
5. Define reinforcement Learning.
6. Define Decision tree
7. Define training Set
8. What is information gain.
9. Define test set.
10. What is Overfitting.
11. What is the solution for overfitting.
12. What memoization.
13. Define Bayesian learning.
14. Define MAP.
15.Define MDL.
16. What is Maximum likelihood
17.What is reward.
18.Define MDP.
19. Define Passive Learning.
20. Define Active Learning.

Unit 4 -16 mark questions.

Unit 4

 16 mark questions

1. Write in detail of basic probability.
2. Explain in detail about Bayesian Network.
3. Explain about inference in Bayesian Network & their types.
4.What is Temporal Model write in detail.
5. Explain about Hidden Markov Model.

Unit 4 - 2 mark quest

Unit 4

2 Mark Questions

 1. Define Uncertainty
 2. List out the 3 reasons why medical diagnosis fails to use FOL
 3. Define Conditional Probability & its other name.
 4. Define UnConditional Probability & its other name.
 5. Define Decision theory
 6. What are the 3 types  of random variables
 7. State the Product rule.
8. What is Kolmogorov's axioms.
9. Give an example for bayesian network
10. What is CPT.
11. Define Markov Assumption.
12. Define transition Model.
13. Define Sensor Model.
14. What are the two types of Markov Process.
15. What are the basic inference tasks.
16. Define Hidden Markov Model.

Unit 3 - 16 mark quest

 16 Mark Questions

Part B

   1. Explain in detail about
       (a) Forward State Space Search (8)
       (b) Backward State Space Search (8)
   2. Explain about Partial Order Planning with example (16)
   3. (i) Write about Planning Graph (8)
       (ii) Explain the job scheduling problem with resource constraint (8)
  4. Write in detail Conditional Planning with example. (16)
  5. Explain about Execution Monitoring & Re planning with example(16) 
  6. Explain in detail the continuous planning with example.(16)

Unit 3 - 2 mark quest

 2 mark questions

     

Part- A

1. What is Ontological Engineering
2.  Define Classical Planning
3. Define Action.
4. What is precondition.
5. What is Effects.
6. Abbreviate ADL & PDDL .Ans:- Action description language,Planning Domain Definition Language (PDDL)   
7. Define Progression Planning.
8. What is backward state space search.
9. Define relaxed problem.
10. Define Sub Goal independence.
11. What is Partial Order Planning.
12. Define Mutex.
13. What are the 3 levels of heuristics.
14. Define CPM
15. Define Slack
16. Define External precondition & Types of Effects.
17. Define Indeterminacy & their types.
18. What are the planning methods of indeterminacy.
19. Define Execution Monitoring.
20. Define Continuous Planning.
21. What are the 2 types of Multi-Agents
22. Define Sensorless Planning.
     

Unit 2-16 mark

 

1)       (i) Write short notes on syntax & semantics of propositional logic (8)
       (ii)   Explain Conjunctive normal form with example (8)

2)      (i) Define the syntactic elements of first-Order logic  (8)
      (ii)  Illustrate the use of first-order logic to represent knowledge. (8)                                                   

      3)      Explain the steps involved in the knowledge Engineering process. Give an example.  (16)

4)      Explain with an example

(a)    forward chaining                                                (8)

                                 (b)  Backward chaining                                            (8)
      5) (i)  Explain the unification  with an example.(8)
           (ii) Explain Resolution for first order logic with example. (8)