26 citations · 45 across the 8 of their papers we have counts for
5 papers · 1 filter
Multiple Instance Verification
Xin Xu, Eibe Frank, Geoffrey Holmes
We explore multiple instance verification, a problem setting in which a query instance is verified against a bag of target instances with heterogeneous, unknown relevancy. We show…
GPUTreeShap: Massively Parallel Exact Calculation of SHAP Scores for Tree Ensembles
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. While exact calculation of…
On the Calibration of Nested Dichotomies for Large Multiclass Tasks
Tim Leathart, Eibe Frank, Bernhard Pfahringer +1
Nested dichotomies are used as a method of transforming a multiclass classification problem into a series of binary problems. A tree structure is induced that recursively splits th…
Probability Calibration Trees
Tim Leathart, Eibe Frank, Geoffrey Holmes +1
Obtaining accurate and well calibrated probability estimates from classifiers is useful in many applications, for example, when minimising the expected cost of classifications. Exi…
Ensembles of Nested Dichotomies with Multiple Subset Evaluation
Tim Leathart, Eibe Frank, Bernhard Pfahringer +1
A system of nested dichotomies is a method of decomposing a multi-class problem into a collection of binary problems. Such a system recursively applies binary splits to divide the…