From 16b7c881a8ac90ccb45e92d4b0adfa740952f6c4 Mon Sep 17 00:00:00 2001 From: Bryan Cardillo Date: Tue, 7 Apr 2015 21:28:45 -0400 Subject: [PATCH] Add 'Conditional Random Fields' paper. --- machine_learning/README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/machine_learning/README.md b/machine_learning/README.md index bd6e120..b266b19 100644 --- a/machine_learning/README.md +++ b/machine_learning/README.md @@ -5,5 +5,6 @@ Important machine learning papers * [Top 10 algorithms in data mining](http://www.cs.uvm.edu/~icdm/algorithms/10Algorithms-08.pdf) - While it is difficult to identify the top 10, this paper contains 10 very important data mining/machine learning algorithms * [A Few Useful Things to Know about Machine Learning](http://homes.cs.washington.edu/~pedrod/papers/cacm12.pdf) - Just like the title says, it contains many useful tips and gotchas for machine learning * [Random Forests](http://oz.berkeley.edu/~breiman/randomforest2001.pdf) - The initial paper on random forests +* [Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data](http://repository.upenn.edu/cgi/viewcontent.cgi?article=1162&context=cis_papers) - The paper introducing conditional random fields as a framework for building probablistic models.