Changes between Version 4 and Version 5 of AdditionalMaterial/ECML-PKDD

Timestamp:

06/28/12 12:43:52 (12 years ago)

Author:

gkronber

Comment:

--

AdditionalMaterial/ECML-PKDD

@@ -19 +19 @@
 == Identification of Non-Linear Models ==
 As a preparation for symbolic regression a number of parameters have to be configured. A very important parameter is the grammar that restricts the possible shapes of evolved models and defines the basic building blocks for symbolic regression models (function set).
-[[Image(grammar.png)]]
+[[Image(grammar.png, with=300)]]
 
 Other important parameters are the error function that should be minimized (e.g. mean of squared errors, mean of absolute errors, Pearson's R², ...), and the maximal size of the models. Additionally the parameters of the underlying evolutionary algorithm like population size, mutation rate, and number of iterations can be configured.
@@ -27 +27 @@
 
 In HeuristicLab a number of different charts and error metrics are available directly in the GUI for each produced solutions. All results are updated dynamically while the algorithm is running.
-[[Image(screenshots.png)]]
+[[Image(screenshots.png, with=300)]]
 
 == Identification of Relevant Variables ==
 Frequently it is not necessary to learn a full model of the functional relationship but instead only find a set of relevant variables for the process. This can be achieved easily with HeuristicLab through analysis of relative variable frequencies in the population of models. The following Figure shows a variable frequency chart that clearly shows the six most relevant variables. Notably, the relevance of variables is determined based on non-linear models. So, non-linear influence factors and pair-wise interacting factors can be identified as well.  
 
-[[Image(relevantvariables_small.png)]]
+[[Image(relevantvariables_small.png, with=300)]]
 
 == Simplification of Models with Visual Hints ==