Talk:Conditional random field: Difference between revisions

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{{WikiProject Robotics|nested=nobanner shell|class=startStart|importance=mid}}

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==Main Definition Appears to have a typo==

The last displayed equation trails off. Also I don't see an occurrence of the tilde ~ in the definition itself. aetilley 20:37, 12 July 2015 (UTC)

== Relationship with Maximum Entropy Model ==

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== Article a bit biased to sequential applications? ==

I think this article is a bit biased to sequential applications, for example CRF's are being used for images, games (i.e. go), in place of naive bayes nets (Logistic Regression CRF), etc. <small>—Preceding [[Wikipedia:Signatures|unsigned]] comment added by [[Special:Contributions/128.250.6.244|128.250.6.244]] ([[User talk:128.250.6.244|talk]]) 10:32, 21 February 2008 (UTC)</small><!-- Template:UnsignedIP --> <!--Autosigned by SineBot-->

I tried to address this issue by rearranging the article. There is much missing on CRFs and I will include more examples and more general stuff soon.

Good source: http://arxiv.org/abs/1011.4088 [[User:T3kcit|T3kcit]] ([[User talk:T3kcit|talk]]) 13:25, 30 December 2010 (UTC)

== Rewrite ==

I've started a rewrite of this article so that it'll be easier to understand (hopefully). So far I've done the first part of the ''Description'' section, and I'll continue where I left off soonish. Any comments/objections? [[User:Arnsholt|Arnsholt]] ([[User talk:Arnsholt|talk]]) 15:57, 6 June 2011 (UTC)

:I think it would be important to state what X and Y stand for in the definition. <span style="font-size: smaller;" class="autosigned">— Preceding [[Wikipedia:Signatures|unsigned]] comment added by [[Special:Contributions/129.132.245.49|129.132.245.49]] ([[User talk:129.132.245.49|talk]]) 14:53, 2 August 2011 (UTC)</span><!-- Template:Unsigned IP --> <!--Autosigned by SineBot-->

:Definitely! [[User:T3kcit|T3kcit]] ([[User talk:T3kcit|talk]]) 10:08, 24 August 2011 (UTC)

I think there sould be a discussion of inference methods and special cases, also of parameter learning. I feel you removed to much in your rewrite. [[User:T3kcit|T3kcit]] ([[User talk:T3kcit|talk]]) 10:08, 24 August 2011 (UTC)

I didn't notice but now the article claims that all CRFs are tree-structured. This is plain wrong and even inconsistent with the inference part....

It's not so easy to undo this so I just delete it for now :(

Where did you get that CRFs have a tree structure? There where several problems with the argument as it was on the page.

The Markov property means that each variable is independent of the rest given it's neighbours (at least this is the case for undirected graphs, for directed, the concept of the so-called Markov blanket is a little bit more difficult). This is btw exactly what the definition you wrote said.

In computer vision, CRFs are rarely trees. If all CRFs where trees, exact inference would always be possible.

I am not so happy about you removing my explanations and replacing them with wrong arguments and conclusions. Maybe my explanations weren't the best but now there is just a definition. So what now? [[User:T3kcit|T3kcit]] ([[User talk:T3kcit|talk]]) 05:33, 25 August 2011 (UTC)

Why did you remove the section "'''Relation to Markov random fields'''"? I think this is very important to the understanding of this subject. [[User:T3kcit|T3kcit]] ([[User talk:T3kcit|talk]]) 05:59, 25 August 2011 (UTC)

: Agreed! I was just looking up this article in search of just such a section. I hope somebody will bring it back… [[User:Thomas Tvileren|Thomas Tvileren]] ([[User talk:Thomas Tvileren|talk]]) 12:49, 4 June 2014 (UTC)

== Difficult to understand ==

This article is still pretty incomprehensible to people outside of the area of expertise. I want to know more about these in order to understand natural language parsing, but there are no simple introductions on the net. Can we look at simplifying this a bit?[[User:Deadlyvices|Deadlyvices]] ([[User talk:Deadlyvices|talk]]) 12:35, 25 June 2014 (UTC)

== Yet another software ==

Hi. You can add one more CRF implemenration package. This is a linear-chain CRF Java package that I have developed recently. It is here:

https://github.com/asher-stern/CRF

[[Special:Contributions/109.66.15.40|109.66.15.40]] ([[User talk:109.66.15.40|talk]]) 18:48, 27 November 2014 (UTC)

== Difference between linear-chain CRF and CRF unclear / incompletely explained ==

see subject line <!-- Template:Unsigned IP --><small class="autosigned">—&nbsp;Preceding [[Wikipedia:Signatures|unsigned]] comment added by [[Special:Contributions/2A02:8071:41B0:2E00:A803:D936:14D9:6054|2A02:8071:41B0:2E00:A803:D936:14D9:6054]] ([[User talk:2A02:8071:41B0:2E00:A803:D936:14D9:6054#top|talk]]) 16:48, 13 April 2017 (UTC)</small> <!--Autosigned by SineBot-->

== External links modified ==

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== The Connection with Logistic Regression Needs to be highlighted ==

Sutton & McCallum introduced CRFs. In their classic article ("An Introduction to Conditional Random Fields", http://homepages.inf.ed.ac.uk/csutton/publications/crftut-fnt.pdf), it was made clear that just as Hidden Markov Models extend Naïve Bayes, CRFs extend logistic regression. It is embarrassing that the phrase "logistic regression" is entirely missing from a supposedly authoritative Wikipedia article. [[User:Prakash Nadkarni|Prakash Nadkarni]] ([[User talk:Prakash Nadkarni|talk]])