Weak supervision - Wikipedia
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2026-07-16 10:03:03
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划选高亮2026-07-16 13:24:03
原文高亮摘录
“Points that are close to each other are more likely to share a label.”
Whisper 随想笔记
So it's like the 'birds of a feather' rule, but for data points? Makes sense.
划选高亮2026-07-16 13:15:03
原文高亮摘录
“Points that are close to each other are more likely to share a label.”
Whisper 随想笔记
That's basically the whole basis of my clustering homework, feels like common sense honestly
划选高亮2026-07-16 10:21:03
原文高亮摘录
“Weak supervision (also known as semi-supervised learning) is a paradigm in machine learning”
Whisper 随想笔记
The exam analogy really helps—makes the whole concept way more intuitive.
划选高亮2026-07-16 10:12:03
原文高亮摘录
“Weak supervision (also known as semi-supervised learning) is a paradigm in machine learning”
Whisper 随想笔记
I thought weak supervision and semi-supervised were the same thing, turns out they're used interchangeably here.
划选高亮2026-07-16 10:03:03
原文高亮摘录
“Weak supervision (also known as semi-supervised learning) is a paradigm in machine learning”
Whisper 随想笔记
So it's basically learning with a cheat sheet, got it.
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