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For the training of the classifier, about 50 % of the data collected from all the age categories was used A method of cross validation was used to get the best possible classifier The different parameters that could be changed were the kernels, kernel parameters and the cost factor Once the best classifier was found from the cross validation method, the misclassified examples could be used in the bootstrapping process and to further refine the classifier, thus finding the optimum classifier In order to improve the performance of the classifier, either the parallel or the serial or a combination of the two paradigms could be used The parallel paradigm is based on the fact that examples misclassified by one classifier could be classified correctly by another, thus giving a better overall accuracy if both classifiers are used.



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b. Find the probability that G ( a , b . c ) and G(a ,b ,c ) differ in exactly k bit positions, for k = 0 , 1 , 2 , . . . ,8.

var v:Vector.<int> = new <int>[1, 2, 3, 4, 5];

The literal syntax ends in the same way you d write an Array directly into code, but it begins with the new keyword and the actual type used in the Vector instance. If this results in a compiler error, you may need to use a more recent compiler. Using push() with as many elements as you would like accomplishes the same thing with only a little more code, so you use push() to instantiate Vectors in the examples in this chapter for the sake of compatibility.





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c. Find the probability that H ( a , b , c ) and H(a ,b ,c ) differ in exactly k bit positions, for k = 0 , 1 , 2 , . . . , 8 , where H is defined in (5.6). 15. Implement tho continuous approximation equation solving phase of the MD4 attack. Use your program to provide empirical estimates of the following. a. How many iterations, on avcrage, are required before the chcck condition in (5.35) holds

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However, in the snippet you are concerned only with the actual number that you should call to get the New York of ce. You don t want New York: to come back, only the number itself; on the other hand, you need to include context in the expression so that it matches only the New York number. You achieve this by surrounding the number part of the expression in parentheses. This creates a capturing group. Any parts of the expression in parentheses like this will be speci cally extracted for every match of the full expression. I ll cover capturing groups in detail later in the chapter. Capturing groups are part of the expression, but you still need to run the regular expression to access these captures in a match.

In the preceding snippet, you used match() to extract the captured group. However, the behavior of match() can be tricky here. When the expression passed to match() has the global ag set, match() returns an array of all the substrings that match the pattern. It does not give you any of the captures. You ll read more on the global ag in the section Regular Expression Flags. When you use match() with an expression that does not have the global ag set, it returns an array containing the rst matching substring, followed by all the capture groups in the expression for that match. This is the case in the preceding snippet. The expression does not have the global ag set, and match() returns an array where the rst entry is the matching substring "New York: 212-555-2499". The second entry (matches[1]) is the part of the expression that was captured, "212-555-2499". Because of this tricky difference, if you need to use capture groups, you might do well to stick to the by-now familiar function I revisit in the following section.

b. In the continuous approximation, on average, how many iterations are required before the solution converges That is, given a solution to (5.35) how many iterations are needed before (5.36) is satisfied

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