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B TECH (SEM VII) THEORY EXAMINATION 2017- ARTIFICIAL INTELLIGENCE Time: 3 Hours Total Marks: 100 Note: 1. Attempt all Sections. If require any missing data; then choose suitably. SECTION A
1. Attempt all questions in brief. 2 x10 = 20 a. What are Goals of AI? b. What is Turing test? c. Define uniformed search. d. Write a short note on horizon effect. e. List various schemes of knowledge representation. f. Define inference. g. List out performance measure for learning. h. What are the types of nodes in decision tree. i. Write down some applications of pattern recognition. j. What are the types of neural networks? **SECTION B
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6. Attempt any one part of the following: 10 x 1 = 10
(a) Describe statistical learning model in detail. (b) Write short notes on: (i) Discrete model/ maximum – likelihood parameter learning. (ii) Continuous model.
7. Attempt any one part of the following: 10 x 1 = 10
(a) Write a note on Linear Discriminant Analysis (LDA). (b) Explain how PCA is used in pattern recognition. Describe parameter estimation methods in pattern recognition.