no code implementations • 25 Jan 2024 • Pritha Gupta, Marcel Wever, Eyke Hüllermeier
To address these limitations, we establish a theoretical framework using statistical learning theory and information theory to accurately quantify and detect IL.
no code implementations • 24 Nov 2022 • David Schubert, Pritha Gupta, Marcel Wever
In anomaly detection, a prominent task is to induce a model to identify anomalies learned solely based on normal data.
1 code implementation • 29 Jan 2019 • Karlson Pfannschmidt, Pritha Gupta, Björn Haddenhorst, Eyke Hüllermeier
Choice functions accept a set of alternatives as input and produce a preferred subset of these alternatives as output.
1 code implementation • 15 Mar 2018 • Karlson Pfannschmidt, Pritha Gupta, Eyke Hüllermeier
Object ranking is an important problem in the realm of preference learning.