Critique

   The topic is relevant for the course. 5
   The writing is clear and the English is good. 5
   The page is written at an appropriate level for CPSC 522 students (where the students have diverse backgrounds). 5
   The formalism (definitions, mathematics) was well chosen to make the page easier to understand. 5
   The abstract is a concise and clear summary. 5
   There were appropriate (original) examples that helped make the topic clear. 2
   There was appropriate use of (pseudo-) code. N/A
   It had a good coverage of representations, semantics, inference and learning (as appropriate for the topic). 3
   It is correct. 4
   It was neither too short nor too long for the topic. 3
   It was an appropriate unit for a page (it shouldn't be split into different topics or merged with another page). 5
   It links to appropriate other pages in the wiki. 0
   The references and links to external pages are well chosen. 5
   I would recommend this page to someone who wanted to find out about the topic. 1
   This page should be highlighted as an exemplary page for others to emulate. 1

If I was grading it out of 20, I would give it: 10. Comments: Since this page is unfinished, the marks and critiques are based on what are finished. 1. The content maybe too easy for 522 student. Many of them are covered in the lecture. 2. For correctness, P(A|B) is defined when P(B) = 0 in terms of limits; probability equals 0 do not mean impossible, it has possibility with measure 0. 3. Many of the content are already included in existing pages.

Thanks Wenyi for the feedback. I have finished the page and corrected some of the mistakes you pointed out. It's right that the content of the page is not hard but I tried to focus on topics that we didn't cover in class more like beta distributions and eliminated most of the basic definitions that were unnecessary. Anyhow, this assignment is supposed to be background information. I wanted to add some pseudo code but I found out the problem is straight forward (maybe just 2 lines of code) and in cases where we can't find the exact solution, we're either using stochastic gradient or gradient descent which is not relevant here.