Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 3 of 3 for “"Dataset shift"”.
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Addressing two issues in machine learning : interpretability and dataset shift
… by a large sacrifice in accuracy on real world datasets. I then briefly discuss possible extensions that allow one to directly optimize rank statistics over rule lists, and handle ordinal data. In the second, I address a shortcoming of a popular approach to handling covariate shift, in which the …
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Learning Transferable Representations
… as a language for problems of distribution shift. First, we consider domain generalisation, where no data from the test distribution are observed during training. What assumptions can be made regarding the relation between train and test distributions for transfer to succeed? We argue that …
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Characterizing Variation in Healthcare across Time and Providers using Machine Learning
… are affected by such variation, and addressing shifts due to this variation. The solutions we propose draw ideas from causality and dataset shift. In the first part of this thesis, we address these three aspects for variation over time. First, we create an algorithm that can detect when a model …