Support Vector


decision boundary와 가장 가까운 입력 데이터들
Note that $\alpha_i$ will all be zero except for the support vectors because of [Karush-Kuhn-Tucker Condition](https://texonom.com/karush-kuhn-tucker-condition-01c654c038e1493080cbcb9ec1d026d0) 
$$\Sigma \alpha y = 0$$
so there will be at least one + and one -
![](https://www.notion.so/image/https%3A%2F%2Fs3-us-west-2.amazonaws.com%2Fsecure.notion-static.com%2Fe1292586-ca6c-4193-a02d-91b71d65075e%2FUntitled.png?table=block&id=2da3f0d0-1e5e-4e28-9f9f-c9dc076db188&cache=v2)

$$h_{w, b}(x) = g(w^Tx + b)$$






