10 citations · 16 across the 4 of their papers we have counts for
5 papers
Temporal Probability Calibration
Tim Leathart, Maksymilian Polaczuk
In many applications, accurate class probability estimates are required, but many types of models produce poor quality probability estimates despite achieving acceptable classifica…
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…
Building Ensembles of Adaptive Nested Dichotomies with Random-Pair Selection
Tim Leathart, Bernhard Pfahringer, Eibe Frank
A system of nested dichotomies is a method of decomposing a multi-class problem into a collection of binary problems. Such a system recursively splits the set of classes into two s…