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Consider the data with categorical predictor x1 = {green or red} and numerical predictor x2 and the class variable y shown in the following table. The weights for a round of boosting are also shown in the table. Suppose the classifier built from this round of boosting assigns y = 1 for x2 < 0.45 and y = -1 for x2 > 0.45. Compute the coefficient α for this classifier in the adaboost algorithm.
Mainframe computer Mainframe computers are very large, often can fill an entire room. They can store a large amount of information, can execute many tasks at the same time, can
Testing Your Program All programs must be thoroughly tested before they are released to users. Create some sample input files of a small size and manually figure out what the o
Q. What is the draw back of Access-3 Code? Give suggestion to over come this drawback.
In a word,you can't. It would certainly be helpful to be able to color-code your worksheet tabs. For some reason, Microsoft hasn't executed this feature, which has been available i
Strong AI makes the bold claim that computers can be made to think on a level (at least) equivalent to humans. Weak AI only states that some "thinking-like" features can be added t
Q. Illustrate Layout of Magnetic Disk? Head is a relatively small device capable of reading from or writing to a part of platter rotating beneath it. This gives rise to organiz
what is software engineering?
What is Difference between write back and write through cache? A caching method wherein modifications to data into the cache aren't copied to the cache source till absolutely n
Adavantages and disadvantages of compilers and interpreters
Explain about subsystem and object of object oriented modeling A subsystem is a grouping of elements of that constitutes a specification of behaviour offered by other contained
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