Artificial intelligence by Mahesh Pon
Author:Mahesh, Pon [Mahesh, Pon]
Language: eng
Format: epub
Published: 2020-05-30T16:00:00+00:00
So, to sum it up, SVM is used to classify data by using a hyperplane, such that the distance between the hyperplane and the support vector is maximum. Now this distance is nothing but the margin. Now let's try to solve a problem.
Let's say that I input a new data point and I want to draw a hyperplane such that it best separates these two classes. So what do I do? I start out by drawing a hyperplane, and then I check the distance between the hyperplane and the support vectors. So, basically here, I'm trying to check if the margin is maximum for this hyperplane. But what if I drew the hyperplane like this? The margin for this hyperplane is clearly being more than the previous one.
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Computer Vision & Pattern Recognition | Expert Systems |
Intelligence & Semantics | Machine Theory |
Natural Language Processing | Neural Networks |
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