Home // Evaluation of Classifers using Resampling Methods
Type of thesis: Bachelorarbeit / location: Dresden / Status of thesis: Finished theses
Evaluation of a classifier by means of resampling methods like bootstrapping, cross-validation, jack knife, etc. is well established in statistics. Since these methods are computational intensive, they are not yet broadly used within the machine learning community. Because of its structure, the resampling task could benefit from parallelization. The target of this thesis is to elaborate approaches for parallelizing the resampling task in order make it fast and efficient.
Service and Transfer Center
TU Dresden
Statistics, Machine Learning, Deep Learning
ScaDS.AI Dresden/Leipzig (Center for Scalable Data Analytics and Artificial Intelligence) is a center for Data Science, Artificial Intelligence and Big Data with locations in Dresden and Leipzig.
Bürokomplex Falkenbrunnen Chemnitzer Str. 46b, 2. Obergeschoss 01187 Dresden
Löhrs Carré Humboldtstraße 25, 3. Obergeschoss 04105 Leipzig
Copyright 2022 © ScaDS.AI Dresden/Leipzig – All rights reserved.