From 11479780e6a19dcf8f15b4b325939f272ba3d45d Mon Sep 17 00:00:00 2001
From: jae <>
Date: Thu, 6 Jun 2013 18:10:45 +0000
Subject: [PATCH] cleaned up Torch project entries

---
 LDP/howto/linuxdoc/AI-Alife-HOWTO.sgml | 56 +++++---------------------
 1 file changed, 10 insertions(+), 46 deletions(-)

diff --git a/LDP/howto/linuxdoc/AI-Alife-HOWTO.sgml b/LDP/howto/linuxdoc/AI-Alife-HOWTO.sgml
index b0857044..bdefb0a6 100644
--- a/LDP/howto/linuxdoc/AI-Alife-HOWTO.sgml
+++ b/LDP/howto/linuxdoc/AI-Alife-HOWTO.sgml
@@ -874,42 +874,6 @@ United States.
         offer you the right functionality.
 
 
-    <label id="Torch">
-    <tag/Torch/
-        <itemize>
-            <item>Web site: <htmlurl
-                url="http://www.torch.ch/"
-                name="www.torch.ch">
-            <item>Successor: <ref id="Torch5">
-        </itemize>
-
-        Torch is a machine-learning library, written in C++.  Its aim is to
-        provide the state-of-the-art of the best algorithms.  It is, and it
-        will be, in development forever.
-
-        <itemize>
-            <item>Many gradient-based methods, including multi-layered
-            perceptrons, radial basis functions, and mixtures of experts.  Many
-            small "modules" (Linear module, Tanh module, SoftMax module, ...)
-            can be plugged together.
-
-            <item>Support Vector Machine, for classification and regression.
-
-            <item>Distribution package, includes Kmeans, Gaussian Mixture
-            Models, Hidden Markov Models, and Bayes Classifier, and classes for
-            speech recognition with embedded training.
-
-            <item>Ensemble models such as Bagging and Adaboost.
-
-            <item>Non-parametric models such as K-nearest-neighbors, Parzen
-            Regression and Parzen Density Estimator.
-
-            <item>
-        </itemize>
-
-        Torch is an open library whose authors encourage everybody to develop
-        new packages to be included in future versions on the official website.
-
   </descrip>
 
 
@@ -5470,19 +5434,19 @@ name="www.csee.umbc.edu/tkqml/">
         principles.
 
 
-    <label id="Torch5">
-    <tag/Torch5/
+    <label id="Torch">
+    <tag/Torch/
         <itemize>
-            <item>Web site: <htmlurl
-                url="http://torch5.sourceforge.net/">
+            <item>Web site: <htmlurl url="http://www.torch.ch/">
+            <item>Old versions:
+            <htmlurl url="http://torch5.sourceforge.net/" name="Torch5">
+            <htmlurl url="http://www.torch.ch/torch3/" name="Torch3">
         </itemize>
 
-        Torch5 provides a matlab-like environment for state-of-the-art machine
+        Torch provides a Matlab-like environment for state-of-the-art machine
         learning algorithms. It is easy to use and provides a very efficient
-        implementation, thanks to a easy and fast scripting language (Lua) and
-        a underlying C++ implementation. It is distributed under a BSD license.
-
-        This is the successor to the <ref id="Torch" name="Torch3"> project.
+        implementation, thanks to an easy and fast scripting language (Lua) and
+        a underlying C implementation.
 
 
     <label id="Vowpal Wabbit">
@@ -5497,7 +5461,7 @@ name="www.csee.umbc.edu/tkqml/">
         <itemize>
           <item>flexible input data specification
           <item>speedy learning
-          <item>scalability (bounded memory footprint, suitable for 
+          <item>scalability (bounded memory footprint, suitable for
                 distributed computation)
           <item>feature pairing
         </itemize>