380 citations · 1.2k across the 32 of their papers we have counts for
3 papers · 2 filters
Counting Markov Blanket Structures
Shyam Visweswaran, Gregory F. Cooper
Learning Markov blanket (MB) structures has proven useful in performing feature selection, learning Bayesian networks (BNs), and discovering causal relationships. We present a form…
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…