Suggestions

Your draft is so perfect that now I know more clearly about Markov Networks. Here is my critiques and if you have questions let me know. Scale of 1 to 5, where 1 = strongly disagree and 5 = strongly agree:

(4) 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.
(4.5) The abstract is a concise and clear summary.
(5) There were appropriate (original) examples that helped make the topic clear.
(3) There was appropriate use of (pseudo-) code.
(4) It had a good coverage of representations, semantics, inference and learning (as appropriate for the topic).
(5) It is correct.
(4) It was neither too short nor too long for the topic.
(4) It was an appropriate unit for a page (it shouldn't be split into different topics or merged with another page).
(4.5) It links to appropriate other pages in the wiki.
(4) The references and links to external pages are well chosen.
(4.5) I would recommend this page to someone who wanted to find out about the topic.
(4) This page should be highlighted as an exemplary page for others to emulate.

Here are some suggestions:

1 Abstract section can be more concise.
2 It is better to introduce some Artificial intelligence or machine learning areas that use Markov network. For example: The reason why Artificial intelligence uses directed graph like Bayesian network more compared with Markov network. What Markov network do in the domain of artificial intelligence and so on.

Sincerely,

YuYan

YuYan1 (talk)‎