Abstract

The linear models we introduced appear to be very flexible, however they are limited in what they can capture. Specifically, because the equation θ· f (x, y) is linear, classification cannot be successful if the data points, when plotted in their feature space, cannot be divided by a line (or, more generally, a hyperplane). The classic example of this is the xor problem. Consider this data: f1 f2 y 1 1 a 1 0 b 0 1 b 0 0 a

Metadata

publication

year

2024

publication date

2024/9/6

authors

Jonathan May

link

https://jonmay.github.io/USC-CS662/assets/files/nonlinear.pdf

resource_link

https://jonmay.github.io/USC-CS662/assets/files/nonlinear.pdf