[mlpack-git] master: Make links more obvious. (e9082cf)

[gitdub at big.cc.gt.atl.ga.us]

Repository : https://github.com/mlpack/mlpack.org

On branch  : master
Link       : https://github.com/mlpack/mlpack.org/compare/344bb235162750b099c994359491930a31a72194...2c3eae9b1b2dcce628dcffbce713d6c61c7eadc6

>---------------------------------------------------------------

commit e9082cf37f8bc086ce9da9b41e93e56b427489bd
Author: Ryan Curtin <ryan at ratml.org>
Date:   Thu Mar 26 00:28:01 2015 +0000

    Make links more obvious.


>---------------------------------------------------------------

e9082cf37f8bc086ce9da9b41e93e56b427489bd
 about.html | 90 ++++++++++++++++++++++++++++++++------------------------------
 1 file changed, 46 insertions(+), 44 deletions(-)

diff --git a/about.html b/about.html
index 7747e3f..83cd5e4 100644
--- a/about.html
+++ b/about.html
@@ -73,68 +73,70 @@ papers, API documentation, tutorials, or other references.
 <br><br>
 <ul>
 <li>Density estimation trees (<a
-href="doxygen.php?doc=namespacemlpack_1_1det.html">api</a>, <a
-href="doxygen.php?doc=dettutorial.html">tutorial</a>, <a
-href="papers/det.pdf">paper</a>)</li>
+href="doxygen.php?doc=namespacemlpack_1_1det.html" class="lilink">api</a>, <a
+href="doxygen.php?doc=dettutorial.html" class="lilink">tutorial</a>, <a
+href="papers/det.pdf" class="lilink">paper</a>)</li>
 <li>Euclidean minimum spanning tree calculation (<a
-href="doxygen.php?doc=namespacemlpack_1_1emst.html">api</a>, <a
-href="doxygen.php?doc=emsttutorial.html">tutorial</a>, <a
-href="papers/emst.pdf">paper</a>)</li>
+href="doxygen.php?doc=namespacemlpack_1_1emst.html" class="lilink">api</a>, <a
+href="doxygen.php?doc=emsttutorial.html" class="lilink">tutorial</a>, <a
+href="papers/emst.pdf" class="lilink">paper</a>)</li>
 <li>Gaussian mixture models (<a
-href="doxygen.php?doc=namespacemlpack_1_1gmm.html">api</a>, <a
-href="http://en.wikipedia.org/wiki/Gaussian_Mixture_Model">wiki</a>)</li>
+href="doxygen.php?doc=namespacemlpack_1_1gmm.html" class="lilink">api</a>, <a
+href="http://en.wikipedia.org/wiki/Gaussian_Mixture_Model" class="lilink">wiki</a>)</li>
 <li>Hidden Markov models (<a
-href="doxygen.php?doc=namespacemlpack_1_1hmm">api</a>, <a
-href="http://en.wikipedia.org/wiki/Hidden_Markov_Model">wiki</a>)</li>
+href="doxygen.php?doc=namespacemlpack_1_1hmm" class="lilink">api</a>, <a
+href="http://en.wikipedia.org/wiki/Hidden_Markov_Model" class="lilink">wiki</a>)</li>
 <li>Kernel Principal Components Analysis (optionally with Nystroem sampling) (<a
-href="doxygen.php?doc=namespacemlpack_1_1kpca">api</a>, <a
-href="papers/kpca.pdf">paper</a>, <a
-href="http://en.wikipedia.org/wiki/Kernel_Principal_Components_Analysis">wiki</a>)</li>
+href="doxygen.php?doc=namespacemlpack_1_1kpca" class="lilink">api</a>, <a
+href="papers/kpca.pdf" class="lilink">paper</a>, <a
+href="http://en.wikipedia.org/wiki/Kernel_Principal_Components_Analysis"
+class="lilink">wiki</a>)</li>
 <li>k-Means clustering (with several accelerated algorithms) (<a
-href="doxygen.php?doc=namespacemlpack_1_1kmeans.html">api</a>, <a
-href="doxygen.php?doc=kmeanstutorial.html">tutorial</a>, <a
-href="http://en.wikipedia.org/wiki/k-Means_Clustering">wiki</a>)</li>
+href="doxygen.php?doc=namespacemlpack_1_1kmeans.html" class="lilink">api</a>, <a
+href="doxygen.php?doc=kmeanstutorial.html" class="lilink">tutorial</a>, <a
+href="http://en.wikipedia.org/wiki/k-Means_Clustering" class="lilink">wiki</a>)</li>
 <li>Least-angle regression (LARS/LASSO) (<a
-href="doxygen.php?doc=namespacemlpack_1_1regression.html">api</a>, <a
+href="doxygen.php?doc=namespacemlpack_1_1regression.html" class="lilink">api</a>, <a
 href="papers/lars.pdf">paper</a>, <a
-href="http://en.wikipedia.org/wiki/Least-angle_regression">wiki</a>)</li>
+href="http://en.wikipedia.org/wiki/Least-angle_regression" class="lilink">wiki</a>)</li>
 <li>Linear regression (simple least-squares) (<a
-href="doxygen.php?doc=namespacemlpack_1_1regression.html">api</a>, <a
-href="http://en.wikipedia.org/wiki/Linear_regression">wiki</a>)</li>
+href="doxygen.php?doc=namespacemlpack_1_1regression.html" class="lilink">api</a>, <a
+href="http://en.wikipedia.org/wiki/Linear_regression" class="lilink">wiki</a>)</li>
 <li>Local coordinate coding (<a
-href="doxygen.php?doc=namespacemlpack_1_1lcc.html">api</a>, <a
-href="papers/lcc.pdf">paper</a>)</li>
+href="doxygen.php?doc=namespacemlpack_1_1lcc.html" class="lilink">api</a>, <a
+href="papers/lcc.pdf" class="lilink">paper</a>)</li>
 <li>Locality-sensitive hashing for approximate nearest neighbor search (<a
-href="doxygen.php?doc=namespacemlpack_1_1neighbor.html">api</a>, <a
-href="papers/lsh.pdf">paper</a>, <a
-href="http://en.wikipedia.org/wiki/Locality-sensitive_hashing">wiki</a>)</li>
+href="doxygen.php?doc=namespacemlpack_1_1neighbor.html" class="lilink">api</a>, <a
+href="papers/lsh.pdf" class="lilink">paper</a>, <a
+href="http://en.wikipedia.org/wiki/Locality-sensitive_hashing" class="lilink">wiki</a>)</li>
 <li>Naive Bayes classifier (<a
-href="doxygen.php?doc=namespacemlpack_1_1naive_bayes.html">api</a>, <a
-href="http://en.wikipedia.org/wiki/Naive_Bayes_classifier">wiki</a>)</li>
+href="doxygen.php?doc=namespacemlpack_1_1naive_bayes.html" class="lilink">api</a>, <a
+href="http://en.wikipedia.org/wiki/Naive_Bayes_classifier" class="lilink">wiki</a>)</li>
 <li>Nearest neighbor search with dual-tree algorithms (<a
-href="doxygen.php?doc=namespacemlpack_1_1neighbor.html">api</a>, <a
-href="doxygen.php?doc=nstutorial.html">tutorial</a>, <a
-href="papers/ns.pdf">paper</a>, <a
-href="http://en.wikipedia.org/wiki/Nearest_neighbor_search">wiki</a>)</li>
+href="doxygen.php?doc=namespacemlpack_1_1neighbor.html" class="lilink">api</a>, <a
+href="doxygen.php?doc=nstutorial.html" class="lilink">tutorial</a>, <a
+href="papers/ns.pdf" class="lilink">paper</a>, <a
+href="http://en.wikipedia.org/wiki/Nearest_neighbor_search" class="lilink">wiki</a>)</li>
 <li>Neighborhood components analysis (<a
-href="doxygen.php?doc=namespacemlpack_1_1nca.html">api</a>, <a
+href="doxygen.php?doc=namespacemlpack_1_1nca.html" class="lilink">api</a>, <a
 href="papers/nca.pdf">paper</a>, <a
-href="http://en.wikipedia.org/wiki/Neighborhood_components_analysis">wiki</a>)</li>
+href="http://en.wikipedia.org/wiki/Neighborhood_components_analysis"
+class="lilink">wiki</a>)</li>
 <li>Principal components analysis (PCA) (<a
-href="doxygen.php?doc=namespacemlpack_1_1pca.html">api</a>, <a
-href="http://en.wikipedia.org/wiki/Principal_components_analysis">wiki</a>)</li>
+href="doxygen.php?doc=namespacemlpack_1_1pca.html" class="lilink">api</a>, <a
+href="http://en.wikipedia.org/wiki/Principal_components_analysis" class="lilink">wiki</a>)</li>
 <li>RADICAL (independent components analysis) (<a
-href="doxygen.php?doc=namespacemlpack_1_1radical.html">api</a>, <a
-href="papers/radical.pdf">paper</a>)</li>
+href="doxygen.php?doc=namespacemlpack_1_1radical.html" class="lilink">api</a>, <a
+href="papers/radical.pdf" class="lilink">paper</a>)</li>
 <li>Range search with dual-tree algorithms (<a
-href="doxygen.php?doc=namespacemlpack_1_1range.html">api</a>, <a
-href="doxygen.php?doc=rstutorial.html">tutorial</a>, <a
-href="papers/rs.pdf">paper</a>, <a
-href="http://en.wikipedia.org/wiki/Range_search">wiki</a>)</li>
+href="doxygen.php?doc=namespacemlpack_1_1range.html" class="lilink">api</a>, <a
+href="doxygen.php?doc=rstutorial.html" class="lilink">tutorial</a>, <a
+href="papers/rs.pdf" class="lilink">paper</a>, <a
+href="http://en.wikipedia.org/wiki/Range_search" class="lilink">wiki</a>)</li>
 <li>Sparse coding with dictionary learning (<a
-href="doxygen.php?doc=namespacemlpack_1_1sparse_coding.html">api</a>, <a
-href="papers/sparse_coding.pdf">paper</a>, <a
-href="http://en.wikipedia.org/wiki/Sparse_coding">wiki</a>)</li>
+href="doxygen.php?doc=namespacemlpack_1_1sparse_coding.html" class="lilink">api</a>, <a
+href="papers/sparse_coding.pdf" class="lilink">paper</a>, <a
+href="http://en.wikipedia.org/wiki/Sparse_coding" class="lilink">wiki</a>)</li>
 </ul>
 <br>
 &nbsp;&nbsp;Contributors include: