Consider a learning problem where the examples are described by n boolean attributes and the target concept is a conjunction of k of the n (unnegated) attributes. an algorithm to find the target concept is as follows: the initial hypothesis is the conjunction of all n attributes. for each misclassified positive example, discard any attributes from the hypothesis which are false in the positive example. suppose the examples for this learning problem are drawn from the uniform distribution, so every combination of attribute values has equal probability of appearing. further, the attributes are all independent of one another, and there is no noise. derive a formula that bounds the number of examples the algorithm needs to see to guarantee that it will find the target with probability exceeding α, in terms of α, k and n.

Write a program that uses a random number generator to generate a two digit positive integer and allows the user to perform one or more of the following operations: a. double the number. b. reverse the digits of the number. c. raise the number to the power of 2, 3, or 4. d. sum the digits of the number. e. if the number is a two-digit number, then raise the first digit to the power of the second digit. f. if the number is a three-digit number and the last digit is less than or equal to 4, then raise the first two digits to the power of the last digit. after performing an operation if the number is less than 10, add 10 to the number. also, after each operation determine if the number is prime. each successive operation should be performed on the number generated by the last operation. your program should not contain any global variables and each of these operations must be implemented by a separate function. also, your program should be menu driven. 7. (fraction calculator) write a program that

If you embed a word table into powerpoint, what happens when you make edits to the embedded data? a. edits made to embedded data change the data in the source file; however, edits made to the source file will not be reflected in the embedded data. b. edits made to embedded data will change the data in the source file, and edits made to the source file will be reflected in the embedded data. c. edits made to embedded data don't change the data in the source file, nor will edits made to the source file be reflected in the embedded data. d. edits made to embedded data don't change the data in the source file; however, edits made to the source file will be reflected in the embedded data.

Amitha writes up a one-page summary of a novel during her summer internship at a publishing company. when she reads over the page, she realizes she used the word “foreshadow” seven times, and she would like to reduce the repetition. which tool would best amitha solve this problem?