18.8 Suppose that a learning algorithm is trying to find a consistent hypothesis when the classifications of
Question:
18.8 Suppose that a learning algorithm is trying to find a consistent hypothesis when the classifications of examples are actually being generated randomly. There are n Boolean attributes, and examples are drawn uniformly from the set of 2" possible examples. Calculate the number of examples required before the probability of finding a contradiction in the data reaches 0.5.
Fantastic news! We've Found the answer you've been seeking!
Step by Step Answer:
Answered By
Abigael martinez
I have been a tutor for over 3 years and have had the opportunity to work with students of all ages and backgrounds. I have a strong belief that all students have the ability to learn and succeed if given the right tools and support. I am patient and adaptable, and I take the time to get to know each student's individual learning style in order to best support their needs. I am confident in my ability to help students improve their grades and reach their academic goals.
1+ Reviews
10+ Question Solved
Related Book For 
Artificial Intelligence A Modern Approach
ISBN: 9780131038059
1st Edition
Authors: Stuart Russell, Peter Norvig
Question Posted:
