SC²S Colloquium - Aug 16, 2018

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Date: Aug 16, 2018
Room: 02.07.023
Time: 15:00 - 15:30

Dominik Fuchsgruber: Integration of the SGDE-based Classification into the SG Datamining Pipeline

This is an external Bachelor's Thesis submission talk advised by Kilian Röhner

This thesis describes the integration of the sparse grid density estimation-based classification into the datamining pipeline of the SG++ toolbox. As the sparse grid density estimation can be reduced to solving a system of linear equations, a database to store manage precomputed system matrix factorizations for different common scenarios was introduced. Furthermore, existing algorithmic modules were refactored, mainly by reorganizing the ownership of model state instances, such as the underlying grid objects and corresponding surplus vectors. Models for density estimation as well as classification were implemented as standalone tasks, therefore being accessible to end-users. The new concepts will be evaluated and compared to their previous implementation, showing that computational as well as memory complexity is maintained.


Keywords: SG++

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