Overfitting concerns itself with generalization to out of training data *on the ... | Hacker News

Hacker Newsnew | past | comments | ask | show | jobs | submit

argonaut on Feb 3, 2016 | parent | context | favorite | on: Go, Marvin Minsky, and the Chasm That AI Hasn’t ye...

Overfitting concerns itself with generalization to out of training data on the same task.

I think the term you are looking for is that it's too domain-specific. Or "it uses too much feature engineering and domain-specific engineering."

shas3 on Feb 3, 2016 [–]

I see quotes to use it as an analogy. I'm not claiming that their algorithm over fits. It is just another way of saying the system is too specific and optimized to chess to be generalizable.

Guidelines | FAQ | Lists | API | Security | Legal | Apply to YC | Contact