226 citations · 541 across the 30 of their papers we have counts for
3 papers · 1 filter
A Mixtures-of-Experts Framework for Multi-Label Classification
Charmgil Hong, Iyad Batal, Milos Hauskrecht
We develop a novel probabilistic approach for multi-label classification that is based on the mixtures-of-experts architecture combined with recently introduced conditional tree-st…
Binary Classifier Calibration: Non-parametric approach
Mahdi Pakdaman Naeini, Gregory F. Cooper, Milos Hauskrecht
Accurate calibration of probabilistic predictive models learned is critical for many practical prediction and decision-making tasks. There are two main categories of methods for bu…
Binary Classifier Calibration: Bayesian Non-Parametric Approach
Mahdi Pakdaman Naeini, Gregory F. Cooper, Milos Hauskrecht
A set of probabilistic predictions is well calibrated if the events that are predicted to occur with probability p do in fact occur about p fraction of the time. Well calibrated pr…