STUPIDSID
Solve any one question from Q1 and Q2
1 (a)
Explain the architecture of a general learning agent.
6 M
1 (b)
Explain any two local search algorithms.
6 M
1 (c)
Explain the procedure for conversion of FOL to CNF with example.
8 M
2 (a)
Explain any three foundations of intelligent systems?
6 M
2 (b)
Describe effectiveness of a alpha-beta pruning.
6 M
2 (c)
Write a note on planning graphs.
8 M
Solve any one question from Q3 and Q4
3 (a)
Explain the Baye's rule and its use with a suitable example.
6 M
3 (b)
Explain Bayesian networks with a suitable example.
6 M
4 (a)
Write a note on Hidden Markov Models.
6 M
4 (b)
Explain the construction of Dynamic Bayesian Networks with a suitable example.
6 M
Solve any one question from Q5 and Q6
5 (a)
Explain any one supervised learning approach.
6 M
5 (b)
Explain Nonparametric Models.
6 M
6 (a)
Write a note Artificial Neural Networks.
6 M
6 (b)
Explain Ensemble Learning.
6 M
Solve any one question from Q7 and Q8
7 (a)
What are the Information Retrieval characteristics? How to Evaluate and
Refine Information Retrieval system.
6 M
7 (b)
Explain the procedure for Machine translation.
6 M
8 (a)
Describe Robotic Perception in brief.
6 M
8 (b)
Write a note on Robotic Software Architectures.
6 M
Solve any one question from Q9 and Q10
9 (a)
Describe the Basis of Utility Theory.
6 M
9 (b)
How to Evaluate and Choose the Best Hypothesis.
8 M
10 (a)
How to Represent and Evaluate decision problem with a decision network.
6 M
10 (b)
Explain any four prime application domains of robotics technology.
8 M
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