diff --git a/doc/modules/classes.rst b/doc/modules/classes.rst
index 497a7acb2d3ed1507c88f1d874747aaffe922753..61f6535ec0b6fbc4507b844b6be73e4e746c6389 100644
--- a/doc/modules/classes.rst
+++ b/doc/modules/classes.rst
@@ -169,3 +169,34 @@ Feature Selection
 
    feature_selection.rfe.RFE
    feature_selection.rfe.RFECV
+
+.. _feature_extraction_ref:
+
+Feature Extraction
+==================
+
+.. autosummary::
+   :toctree: generated/
+   :template: function.rst
+
+   feature_extraction.image.img_to_graph
+
+.. autosummary::
+   :toctree: generated/
+   :template: class.rst
+
+   feature_extraction.text.WordNGramAnalyzer
+   feature_extraction.text.CharNGramAnalyzer
+   feature_extraction.text.TermCountVectorizer
+   feature_extraction.text.TfidfTransformer
+   feature_extraction.text.TfidfVectorizer
+   feature_extraction.text.SparseHashingVectorizer 
+
+Pipeline
+========
+
+.. autosummary::
+   :toctree: generated/
+   :template: class.rst
+
+   pipeline.Pipeline
diff --git a/doc/modules/feature_selection.rst b/doc/modules/feature_selection.rst
index dcd8e9a44ef5e6315ad6de46341b41bd8ba0e9b9..13d5c2a929b8283e3f579c72e88df926e9c277c4 100644
--- a/doc/modules/feature_selection.rst
+++ b/doc/modules/feature_selection.rst
@@ -1,4 +1,6 @@
 
+.. _feature_selection_doc:
+
 =======================
 Feature selection
 =======================
diff --git a/doc/whats_new.rst b/doc/whats_new.rst
index 2764b0447d9d2ebe103343a58a449d7a4253555f..1417b7a6841d6ae064463eb7904c9007e2a80e64 100644
--- a/doc/whats_new.rst
+++ b/doc/whats_new.rst
@@ -9,34 +9,45 @@
 Changelog
 ---------
 
-New modules
-~~~~~~~~~~~
+New classes
+~~~~~~~~~~~~
 
-    - New Hidden Markov Models module (:ref:`scikits.learn.hmm`)
+    - Support for sparse matrices in some classifiers of modules
+      ``svm`` and ``glm`` (see :class:`svm.sparse.SVC`,
+      :class:`svm.sparse.SVR`, :class:`svm.sparse.LinearSVC`,
+      :class:`glm.sparse.ElasticNet`, :class:`glm.sparse.Lasso`)
 
-    - Support for sparse matrices in modules ``svm`` and ``glm``.
-
-    - Add a Pipeline object to compose different estimators.
+    - New :class:`pipeline.Pipeline` object to compose different estimators.
 
     - Recursive Feature Elimination routines in module
-      :ref:`modules/feature_selection`.
+      :ref:`feature_selection_doc`.
 
     - Addition of various classes capable of cross validation in the
       glm module (:class:`glm.LassoCV`, :class:`glm.ElasticNetCV`,
       etc.).
 
-    - New pure-python LARS algorithm implementation
-      (scikits.learn.glm.lars).
+    - New, more efficient LARS algorithm implementation. The Lasso
+      variant of the algorithm is also implemented. See
+      :class:`glm.lars_path`, :class:`glm.LARS` and
+      :class:`glm.LassoLARS`.
 
+    - New Hidden Markov Models module (see classes
+      :class:`hmm.GaussianHMM`, :class:`hmm.MultinomialHMM`,
+      :class:`hmm.GMMHMM`)
 
-Examples
-~~~~~~~~
+    - New module feature_extraction (see :ref:`class reference
+      <feature_extraction_ref>`)
 
-    - new examples using some of the mlcomp datasets:
-      :ref:`example_mlcomp_sparse_document_classification.py`,
-      :ref:`example_mlcomp_document_classification.py`
 
-    - Many more examaples.
+Documentation
+~~~~~~~~~~~~~
+
+    - Improved documentation for many modules, now separating
+      narrative documentation from the class reference. As an example,
+      see `documentation for the SVM module
+      <http://scikit-learn.sourceforge.net/modules/svm.html>`_ and the
+      complete `class reference
+      <http://scikit-learn.sourceforge.net/modules/classes.html>`_.
 
 Fixes
 ~~~~~
@@ -44,6 +55,22 @@ Fixes
     - API changes: adhere variable names to PEP-8, give more
       meaningful names.
 
+    - Fixes for svm module to run on a shared memory context
+      (multiprocessing).
+
+    - It is again possible to generate latex (and thus PDF) from the
+      sphinx docs.
+
+Examples
+~~~~~~~~
+
+    - new examples using some of the mlcomp datasets:
+      :ref:`example_mlcomp_sparse_document_classification.py`,
+      :ref:`example_mlcomp_document_classification.py`
+
+    - Many more examaples. `See here
+      <http://scikit-learn.sourceforge.net/auto_examples/index.html>`_
+      the full list of examples.
 
 
 External dependencies
@@ -59,6 +86,11 @@ Removed modules
       the distribution. Users wanting this sort of algorithms should
       take a look into pybrain.
 
+Misc
+~~~~
+
+    - New sphinx theme for the web page.
+
 0.4
 ===