B.Tech-B.Tech Bioinformatics Advanced Computing and Machine Learning(Sathyabama University, Chennai, Tamil Nadu-2010)
Friday, 23 August 2013 05:55Duraimani
(Established under section 3 of UGC Act,1956)
Course & Branch :B.Tech - BIN
Title of the Paper :Advanced Computing & Machine Learning
Max. Marks :80
Sub. Code :522706A Time : 3 Hours
Date :06/03/2010 Session :AN
PART - A (10 x 2 = 20)
Answer ALL the Questions
1. What is meant by activation function?
2. Give any two applications for data mining which uses machine learning algorithms.
3. Differentiate classification and clustering with suitable example.
4. Define entropy.
5. List any two types of crossover with example.
6. What is the advantage of GA based classification system?
7. Define context free grammar with an example.
8. List some of the applications of HMM.
9. What is meant by conditional probability?
10. Name the statistical attributes used in machine learning algorithms.
PART – B (5 x 12 = 60)
Answer All the Questions
11. Write short notes on:
(a) Learning techniques
(b) Aritificial Neural Netowork (ANN)
(or)
12. Write short notes on:
(a) ARFF format
(b) Knowledge representation
13. Explain the ID3 algorithm with an example.
(or)
14. When is clustering technique preferred? Explain any one clustering algorithm with an example.
15. (a) Differentiate GA with traditional search methods.
(b) Explain the concept of roulette wheel selection.
(or)
16. Explain the genetic algorithm with an example of your choice.
17. Explain the Chomsky hierarchy of grammar with rules and examples.
(or)
18. Discuss about the machine learning software – WEKA in :
(a) Data analysis and predictive modeling
(b) Data mining tasks.
19. Discuss any two applications of machine learning in bio-informatics.
(or)
20. Explain the use of statistical theory in machine learning with appropriate applications.
| Earning: ₹ 5.10/- |
