1 code implementation • 12 May 2022 • Hongyu Wang, Eibe Frank, Bernhard Pfahringer, Michael Mayo, Geoffrey Holmes
Recently published CDFSL methods generally construct a universal model that combines knowledge of multiple source domains into one feature extractor.
no code implementations • 25 Apr 2021 • Rory Mitchell, Joshua Cooper, Eibe Frank, Geoffrey Holmes
Game-theoretic attribution techniques based on Shapley values are used to interpret black-box machine learning models, but their exact calculation is generally NP-hard, requiring approximation methods for non-trivial models.
4 code implementations • 27 Oct 2020 • Rory Mitchell, Eibe Frank, Geoffrey Holmes
SHAP (SHapley Additive exPlanation) values provide a game theoretic interpretation of the predictions of machine learning models based on Shapley values.
no code implementations • 8 Sep 2018 • Tim Leathart, Eibe Frank, Bernhard Pfahringer, Geoffrey Holmes
A system of nested dichotomies is a method of decomposing a multi-class problem into a collection of binary problems.
no code implementations • 8 Sep 2018 • Tim Leathart, Eibe Frank, Bernhard Pfahringer, Geoffrey Holmes
Nested dichotomies are used as a method of transforming a multiclass classification problem into a series of binary problems.
no code implementations • 31 Jul 2018 • Tim Leathart, Eibe Frank, Geoffrey Holmes, Bernhard Pfahringer
Obtaining accurate and well calibrated probability estimates from classifiers is useful in many applications, for example, when minimising the expected cost of classifications.