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.

Why is it a good idea to leave an interview being courteous and polite?

Write a program that reads a file consisting of students’ test scores in the range 0–200. it should then determine the number of students having scores in each of the following ranges: 0–24, 25–49, 50–74, 75–99, 100–124, 125–149, 150–174, and 175–200. output the score ranges and the number of students. (run your program with the following input data: 76, 89, 150, 135, 200, 76, 12, 100, 150, 28, 178, 189, 167, 200, 175, 150, 87, 99, 129, 149, 176, 200, 87, 35, 157, 189.)

Creating "smart interfaces" in all sectors of industry, government, and the public arena is one of the fastest growing hct areas. these interfaces model, interpret, and analyze such human characteristics as speech, gesture, and vision. the field of biometrics, in which humans authenticate themselves to machines, is an area of considerable interest to hct practitioners. fingerprint scans are one of the most frequently used biometric options, and this article, biometric student identification: practical solutions for accountability & security in schools, makes a case for the implementation of fingerprint scans in schools. critique the article, and answer the following questions: according to the author, what are the main benefits of adopting fingerprint scans in schools for student identification? according to the author, what are the main drawbacks of adopting fingerprint scans in schools for student identification? do you agree with the author's assessment of the pl