Changes between Version 6 and Version 7 of tutorial/ProbabilisticLearningModels

Timestamp:

08/14/09 10:20:22 (15 years ago)

Author:

horak

Comment:

--

tutorial/ProbabilisticLearningModels

@@ -1 @@
-= Tutorial About Probabilistic Learning Models =
+= Tutorial About Probabilistic Classification Models =
 
 Benjamin Adrian, Gunnar Grimnes, Jörn Hees, Matthias Sperber
@@ -51 +51 @@
 Second, just a small set of features might be enough for classifiying examples successfully. Adding more just decreases  performance. 
 
+
+=== Main Steps ===
+
+1. Convert your problem into a classification problem
+1. Get a pre-classified data set (the more data or even data sets the better). Devide it into test, training and development sets.
+1. Think about your features. This is the most important step!
+1. Process data, extract these features, select significant ones and store them.
+1. Train your model with your training data
+1. Classify your test data.
+
 === Relational Classification ===