User talk:Csc300h

CTW
Here's my review: I hope this helped you and good luck with your AfC. Regards, LlamaAl (talk) 19:41, 9 February 2013 (UTC)
 * References needed
 * All Implementation details sections excluding the last sub-section.
 * Universal data compression procedure for binary tree sources.
 * Uses a context tree to recursively weigh coding distributions corresponding to all bounded memory tree sources in an efficient manner.
 * Provides desirable coding distributions for tree sources with unknown models or parameters.
 * The CTW-method is patented; therefore, it is more difficult to develop a compression algorithm based on the CTW-method for commercial utilization.
 * The context trees have height constraints.
 * Advantages of CTW & Disadvantages of CTW
 * This should be converted into prose. I suggest merging the content in a new section named Advantages and disadvantages of CTW.
 * External links
 * The first two bullets should be included in a new section Further reading.
 * I used all of your suggestions. Thanks again!
 * Happy to help! --LlamaAl (talk) 00:22, 10 February 2013 (UTC)

Re: User talk:csc300h
Thanks for all your help!

CTW
Anything you have to say about context tree weighting should be added to the context tree weighting article - obviously. You can find your edits via the history of Context Tree Weighting Method. &mdash; RHaworth (talk · contribs) 16:25, 25 March 2013 (UTC)