Computer Science > QUESTIONS & ANSWERS > Questions and Answers > Georgia Institute Of Technology CSE 6740 Final 2019 Fall / CSE/ISYE 6740 Fin (All)

Questions and Answers > Georgia Institute Of Technology CSE 6740 Final 2019 Fall / CSE/ISYE 6740 Final Exam (2019 Fall)

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Georgia Institute Of Technology CSE 6740 cse6740Final2019Fall CSE/ISYE 6740 Final Exam (2019 Fall) 1 A Big Picture [12 pts] We learned many machine learning methods during the semester. We listed so... me of them below: 1. Gaussian mixture 2. Kernel density estimation 3. Histogram 4. K-nearest neighbors 5. K-means 6. K-medoids 7. Conditional Random Field 8. Isomap 9. Linear regression 10. Logistic regression 11. Naive Bayes 12. Neural networks 13. Hidden Markov Model 14. Perceptron 15. Principal component analysis 16. Support vector machines (a) List all methods which are used for classification. [2 pts] (b) List all methods which are used for regression. [2 pts] (c) List all methods which are used for density estimation. [2 pts] 2 (d) List all methods which are used for clustering. [2 pts] (e) List all methods which are used for dimension reduction. [2 pts] (f) List all methods that are discriminative. [2 pts] 3 2 Maximum Likelihood [14 pts] (a) [9 pts] The random variable y has a probability density function f(y) = (0 otherwise 1e--1θ + yθ for 1 < y < e for -1 < θ < 1. There are n observations yi, i = 1; : : : ; n, drawn independently from this distribution. (i) Write the cumulative distribution function of y. (ii) Derive the expected value of y. (iii) Write the log likelihood function of θ. [Show More]

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