182 citations · 558 across the 24 of their papers we have counts for
Showing 2012 · cs.LGShow all
2 papers · 2 filters
cs.LG2012★ 22 cited
Monte Carlo Bayesian Reinforcement Learning
Yi Wang, Kok Sung Won, David Hsu +1
Bayesian reinforcement learning (BRL) encodes prior knowledge of the world in a model and represents uncertainty in model parameters by maintaining a probability distribution over…
cs.LG2012★ 85 cited
Optimizing F-measure: A Tale of Two Approaches
Ye Nan, Kian Ming Chai, Wee Sun Lee +1
F-measures are popular performance metrics, particularly for tasks with imbalanced data sets. Algorithms for learning to maximize F-measures follow two approaches: the empirical ut…