NR
Code No: 75229/MT
M.Tech. – II Semester Regular Examinations, September, 2008 MACHINE LEARNING (Neural Networks) Time: 3hours
Max. Marks:60 Answer any FIVE questions All questions carry equal marks ---
1.a) b)
Discuss designing a Learning system. Explain different approaches of Learning.
2.a)
Explain: i) Inductive bias and ii) Active queries. Discuss version spaces algorithm.
b) 3.a) b)
Discuss appropriate problems for decision tree Learning. Explain Learning with active queries.
4.a) b)
Explain limitations of perceptrons. Draw the flow chart and explain Back Propagation Algorithm.
5.a)
Explain calculation errors by: i) Cross validation and ii) Jackknifing. Discuss multiplicative rules for weight tuning.
b) 6.a) b)
Explain Bayes theorem. Discuss Hidden Markov Models.
7.
Discuss and explain Lazy vs Eager Generalization.
8.a) b)
What do you understand by explanation based Learning. Discuss advantages of Genetic Algorithms. *****