Introduction of Back Propagation(BP).
My understanding is far from perfect,
how to use, what's for, what can be? doubts are remained.
However i get more interest through this approach.
I'll make effort more about this.
Introduction of Back Propagation(BP).
My understanding is far from perfect,
how to use, what's for, what can be? doubts are remained.
However i get more interest through this approach.
I'll make effort more about this.
Slides presented at AI-Biz.
Title : Identifying Legality of Japanese Online Advertisements using Complex-valued Support Vector Machine with DFT-based Document Features
7. 分類問題に対するアプローチ法
● 識別関数(4.1)
→識別関数により、直接クラスを決定
● 確率的識別モデル(4.3)
→条件付き確率 p (C k∣x)を求め尤度関数を最大化
● 確率的生成モデル(4.2)
p( x∣C k ) p (C k )
を求めるモデル
p (C k∣x)=
p (x)