X-Git-Url: https://www.fleuret.org/cgi-bin/gitweb/gitweb.cgi?p=cmim.git;a=blobdiff_plain;f=README;h=fe552d0f929caa9fe4bbe340596ac72a210be653;hp=f156ead21aa6f7fc1b2d2ffd268154033d854f0f;hb=821328d86a960f3c5303d22381dce3d7da059f0a;hpb=43c0c6462e47b39c9355a35ce8a3eeb51f669253

diff --git a/README b/README
index f156ead..fe552d0 100644
--- a/README
+++ b/README
@@ -31,10 +31,10 @@ $Id: README,v 1.3 2007-08-23 08:36:50 fleuret Exp $
 
   To compile and test, just type 'make test'
 
-  This small test consists in generating a sample set for a toy
+  This small test consists of generating a sample set for a toy
   problem and testing CMIM, MIM and a random feature selection with
   the naive Bayesian learner.  The two populations of the toy problem
-  lives in the [0,1]^2 square. The positive population is in x^2+y^2 <
+  live in the [0, 1]^2 square. The positive population is in x^2+y^2 <
   1/4 and the negative population is everything else.  Look at
   create_samples.cc for more details.  The features are responses of
   linear classifiers generated at random.
@@ -86,7 +86,7 @@ $Id: README,v 1.3 2007-08-23 08:36:50 fleuret Exp $
 
   --train <file: data set> <file: classifier>
 
-    Build and save to disk a classifier
+    Build a classifier and save it on disk
 
   --test <file: classifier> <file: data set> <file: result>