updated the docs

--HG--
extra : convert_revision : svn%3Afdd8eb12-d10e-0410-9acb-85c331704f74/trunk%402420

docs/docs/algorithms.xml

@@ -1129,7 +1129,7 @@
       <component>
          <name>reduced</name>
          <file>dlib/svm.h</file>
-         <spec_file link="true">dlib/svm/svm_abstract.h</spec_file>
+         <spec_file link="true">dlib/svm/reduced_abstract.h</spec_file>
          <description>
             This is a convenience function for creating 
             <a href="#reduced_decision_function_trainer">reduced_decision_function_trainer</a>
@@ -1143,7 +1143,7 @@
       <component>
          <name>reduced_decision_function_trainer</name>
          <file>dlib/svm.h</file>
-         <spec_file link="true">dlib/svm/svm_abstract.h</spec_file>
+         <spec_file link="true">dlib/svm/reduced_abstract.h</spec_file>
          <description>
                This is a trainer object that is meant to wrap other trainer objects 
                that create <a href="#decision_function">decision_function</a> objects.

docs/docs/index.xml

@@ -118,8 +118,9 @@
                   <li><a href="algorithms.html#mlp">multi layer perceptrons</a> </li>  
                   <li><a href="algorithms.html#svm_nu_trainer">nu support vector machines</a> for classification</li>
                   <li>An online <a href="algorithms.html#krls">kernel RLS regression</a> algorithm</li>
-                  <li>An online kernelized <a href="algorithms.html#kcentroid">centroid estimator</a></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>