Reorganized the stuff on the algorithms page. I pulled the machine learning

and bayesian networking stuff out and gave them their own pages.

--HG--
extra : convert_revision : svn%3Afdd8eb12-d10e-0410-9acb-85c331704f74/trunk%402933

docs/docs/containers.xml

@@ -26,7 +26,9 @@
          short section about the component you would like to use. Then pick which implementation you 
          would like and typedef it to something nice. Here is an example of creating a typedef for 
          a set of integers using the first kernel implementation. <br/>
-         <tt>typedef dlib::set&lt;int&gt;::kernel_1a set_of_ints;</tt> 
+         <tt>typedef dlib::set&lt;int&gt;::kernel_1a set_of_ints;</tt>.  Or as another example,
+         if you wanted to make an expandable array of ints you might say <br/>
+         <tt>typedef dlib::array&lt;int&gt;::expand_1d_c array_of_ints;</tt>. 
          </p>
 
 

docs/docs/index.xml

@@ -117,18 +117,22 @@
 
             <li><b>Machine Learning Algorithms</b>
                <ul>
-                  <li><a href="algorithms.html#mlp">Multi layer perceptrons</a> </li>  
-                  <li><a href="algorithms.html#svm_nu_trainer">Support vector machines</a> for classification</li>
-                  <li>Relevance vector machines for <a href="algorithms.html#rvm_trainer">classification</a> 
-                      and <a href="algorithms.html#rvm_regression_trainer">regression</a> </li>
-                  <li>An online <a href="algorithms.html#krls">kernel RLS regression</a> algorithm</li>
-                  <li>An online <a href="algorithms.html#svm_pegasos">SVM classification</a> algorithm</li>
-                  <li>An online kernelized <a href="algorithms.html#kcentroid">centroid estimator</a>/novelty detector</li>
-                  <li>A kernelized <a href="algorithms.html#kkmeans">k-means</a> clustering algorithm</li>
-                  <li><a href="algorithms.html#rbf_network_trainer">Radial Basis Function Networks</a></li>
-                  <li>Bayesian network inference algorithms such as the 
-                     <a href="algorithms.html#bayesian_network_join_tree">join tree</a> algorithm and 
-                     <a href="algorithms.html#bayesian_network_gibbs_sampler">gibbs sampler</a> markov chain monte carlo algorithm</li>
+                  <li><a href="ml.html#mlp">Multi layer perceptrons</a> </li>  
+                  <li><a href="ml.html#svm_nu_trainer">Support vector machines</a> for classification</li>
+                  <li>Relevance vector machines for <a href="ml.html#rvm_trainer">classification</a> 
+                      and <a href="ml.html#rvm_regression_trainer">regression</a> </li>
+                  <li>An online <a href="ml.html#krls">kernel RLS regression</a> algorithm</li>
+                  <li>An online <a href="ml.html#svm_pegasos">SVM classification</a> algorithm</li>
+                  <li>An online kernelized <a href="ml.html#kcentroid">centroid estimator</a>/novelty detector</li>
+                  <li>A kernelized <a href="ml.html#kkmeans">k-means</a> clustering algorithm</li>
+                  <li><a href="ml.html#rbf_network_trainer">Radial Basis Function Networks</a></li>
+               </ul>
+            </li>
+
+            <li><b>Bayesian Network Inference Algorithms</b>
+               <ul>
+                  <li><a href="bayes.html#bayesian_network_join_tree">join tree</a> algorithm for exact inference</li> 
+                  <li><a href="bayes.html#bayesian_network_gibbs_sampler">gibbs sampler</a> markov chain monte carlo algorithm</li>
                </ul>
             </li>
 

docs/docs/main_menu.xml

@@ -10,6 +10,16 @@
             <link>algorithms.html</link>
             <chm_sub>algorithms.xml</chm_sub>
          </item>
+         <item>
+            <name>Machine Learning</name>
+            <link>ml.html</link>
+            <chm_sub>ml.xml</chm_sub>
+         </item>
+         <item>
+            <name>Bayesian Nets</name>
+            <link>bayes.html</link>
+            <chm_sub>bayes.xml</chm_sub>
+         </item>
          <item>
             <name>Containers</name>
             <link>containers.html</link>

docs/docs/parsing.xml

@@ -57,6 +57,7 @@
          <item>toupper</item> 
          <item>convert_utf8_to_utf32</item> 
          <item>is_combining_char</item> 
+         <item>strings_equal_ignore_case</item> 
       </section>
     </top>
    </menu>
@@ -216,6 +217,18 @@
                                  
       </component>
             
+   <!-- ************************************************************************* -->
+      
+      <component>
+         <name>strings_equal_ignore_case</name>
+         <file>dlib/string.h</file>
+         <spec_file link="true">dlib/string/string_abstract.h</spec_file>
+         <description>        
+            This is a pair of functions to do a case insensitive comparison between strings.
+         </description>
+                                 
+      </component>
+            
    <!-- ************************************************************************* -->
       
       <component>