Suggestions

Hi Bahare,

This page looks good! Here are three suggestions: 1. For section 'Structure learning for the X = Y hypothesis' part, it is not clear to me, would you mind to explain more about how the Bayesian network works? 2. What does 'sloppyX and sloppyY' means, I cannot understand 'record X and record Y being sloppy respectively.' 3. Would you mind to write something about the 'Recursive Conditioning.'? The simplest example will be helpful.

Sincerely,

Junyuan Zheng

JunyuanZheng (talk)‎

Hi Junyuan,

Thanks for your feedback!

1. I did not get your question. What do you mean by "how it works?"

2. I will edit it to make it more understandable.

3. I have a section about recursive conditioning and we had it in the slides before. Are you looking for an example or something special?

Cheers,

BahareFatemi (talk)‎

Hi Bahare,

Sorry for this late reply, after your presentation, I understand this now.

JunyuanZheng (talk)‎