CS539 MACHINE LEARNING. SPRING 99
Practice Problems for Exam 2
PROF. CAROLINA RUIZ
Department of Computer Science
Worcester Polytechnic Institute
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Chapter 8
From Textbook: 8.3
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Chapter 9
- From Textbook: 9.1, 9.3, 9.4
- Taken from Dean, Allen, and Aloimonos' book: Discuss how you would represent and
solve the traveling salesperson problem using genetic algorithms.
- Taken from Winston's book
- Suppose that you are testing various tent designs and tent materials
for comfort in winter. The temperature outside the tent is -40 degrees.
The temperature inside a tent of one design-material conmbination,
warmed by your body heat and a small stove is 5oC. Ohter
tents produce temperatures of 10oC and 15oC.
- Compute the chances of survival of each combination using the
standard fitness method with inside temperature as the measure of quality
(the warmer the better).
- Now suppose that you have lost your Celsius thermometer, reducing
you to measuring temperature with a Fahrenheit thermometer. Recalculate
the chances of survival of each combination with the 41oF,
50oF, and 59oF temperatures.
- Comment why your results argue against the use of the standard method.
- Suppose that you are using the rank method to select candidates.
Recall that the probability of picking the first-ranked candidate is p.
If the first candidate is not pricked, then the probability of picking
the second-ranked candidate is p (that is the second candidate's chance
of survival is p*(1-p)), and so on, until only one candidate is left,
in which case it is selected.
- Suppose that you have five candidates. You decide to select
one using the rank-space method with p=0.25. Compute the probabilities
for each of the five as a function of rank.
- What is peculiar
about the probabilities that you computed in the previous part?
- Can you avoid the pecularity you observed in part 2 by restricting the
probability to a particular range?
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Chapter 10
From Textbook: 10.1, 10.2, 10.3, 10.4, 10.5, 10.6, 10.7
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Chapter 13
From Textbook: 13.1, 13.2, 13.3, 13.4