From f80f74dfea0d6de67aecf094ddccda63a1a60652 Mon Sep 17 00:00:00 2001 From: Ted Fujimoto Date: Thu, 12 Feb 2015 02:47:43 -0500 Subject: [PATCH] Improve README markdown --- artificial_intelligence/judea_pearl/README.md | 12 +++++++----- 1 file changed, 7 insertions(+), 5 deletions(-) diff --git a/artificial_intelligence/judea_pearl/README.md b/artificial_intelligence/judea_pearl/README.md index c168de6..533e8fa 100644 --- a/artificial_intelligence/judea_pearl/README.md +++ b/artificial_intelligence/judea_pearl/README.md @@ -1,4 +1,4 @@ -[Reverend Bayes on inference engines: A distributed hierarchical approach](http://ftp.cs.ucla.edu/pub/stat_ser/r30.pdf) - +[Reverend Bayes on inference engines: A distributed hierarchical approach](http://ftp.cs.ucla.edu/pub/stat_ser/r30.pdf) - > The paper that began the probabilistic revolution in AI > by showing how several desirable properties of reasoning systems > can be obtained through sound probabilistic inference. @@ -6,22 +6,24 @@ > complex probability models, identified conditional independence > relationships as the key organizing principle for uncertain knowledge, > and described an efficient, distributed, exact inference algorithm. -> [ACM Turing Award Short Annotated Bibliography](http://amturing.acm.org/bib/pearl_2658896.cfm) +> -- [ACM Turing Award Short Annotated Bibliography][1] [A theory of inferred causation](http://ftp.cs.ucla.edu/pub/stat_ser/r156-reprint.pdf) - with Thomas S. Verma. > Introduces minimal-model semantics as a basis for causal discovery, > and shows that causal directionality can be inferred from patterns > of correlations without resorting to temporal information. -> [ACM Turing Award Short Annotated Bibliography](http://amturing.acm.org/bib/pearl_2658896.cfm) +> -- [ACM Turing Award Short Annotated Bibliography][1] [Causal diagrams for empirical research](http://ftp.cs.ucla.edu/pub/stat_ser/R218-B-L.pdf) - extended version linked. > Introduces the theory of causal diagrams and its associated do-calculus; > the first (and still the only) mathematical method to enable a > systematic removal of confounding bias in observations. -> [ACM Turing Award Short Annotated Bibliography](http://amturing.acm.org/bib/pearl_2658896.cfm) +> -- [ACM Turing Award Short Annotated Bibliography][1] [The algorithmization of counterfactuals](http://ftp.cs.ucla.edu/pub/stat_ser/r360.pdf) - > Describes a computational model that explains how humans generate, > evaluate and distinguish counterfactual statements so swiftly and > consistently. -> [ACM Turing Award Short Annotated Bibliography](http://amturing.acm.org/bib/pearl_2658896.cfm) +> -- [ACM Turing Award Short Annotated Bibliography][1] + +[1]: http://amturing.acm.org/bib/pearl_2658896.cfm