This page (revision-49) was last changed on 11-Aug-2016 10:02 by Albrecht Striffler

This page was created on 22-Feb-2014 17:35 by Albrecht Striffler

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Version Date Modified Size Author Changes ... Change note
49 11-Aug-2016 10:02 7 KB Albrecht Striffler to previous
48 11-Aug-2016 10:01 7 KB Albrecht Striffler to previous | to last
47 11-Aug-2016 10:01 7 KB Albrecht Striffler to previous | to last
46 11-Aug-2016 09:57 7 KB Albrecht Striffler to previous | to last
45 11-Aug-2016 09:55 7 KB Albrecht Striffler to previous | to last
44 01-Apr-2016 16:03 7 KB Albrecht Striffler to previous | to last
43 26-Nov-2015 14:34 7 KB Albrecht Striffler to previous | to last
42 26-Nov-2015 14:34 7 KB Albrecht Striffler to previous | to last
41 26-Nov-2015 14:23 7 KB Albrecht Striffler to previous | to last

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At line 4 changed one line
!N.N. Service Release (April 2014)
!Service Release 9 (April 2014)
At line 6 changed 2 lines
* __Flowchart-Diffs__: New DiffProvider allows to visualize changes in DiaFlux flowcharts.
* __Visualizations for Ontologies__: Ontologien developed KnowWE can be visualized in different variants.
* __Flowchart-Diffs__: New DiffProvider allowing to visualize changes in DiaFlux flowcharts.
* __Visualizations for Ontologies__: Ontologien developed in KnowWE can be visualized in different visualization variants.
At line 9 changed 2 lines
* __Timeline-Plugin__: Visualize the timeline of a d3web knowledge base variable during a problem solving session or while debugging.
* __New TimeDB function for gradient error of estimation__: Calculating a gradient always comes with an estimation error. It can tell how suited the calculated gradient is for approximating the given history of values. In a new function we want to produce this estimation error for further consideration in the knowledge base
* __Timeline-Plugin__: Visualize the timeline of a variable of the knowledge base during a problem solving session or while debugging.
* __New TimeDB function for gradient error of estimation__: Calculating a gradient over a history of values always comes with an estimation error. It can tell how suited the calculated gradient is for approximating the given history of values. In a new function we want to produce this estimation error for further consideration in the knowledge base.
At line 14 changed one line
!N.N. Feature Release (October 2014)
!Feature Release 10 (October 2014)
At line 30 added one line
This page (revision-49) was last changed on 11-Aug-2016 10:02 by Albrecht Striffler Top