An Approach for Noisy, Crowdsourced Datasets Utilizing Ensemble Modeling, 'Human Softmax' Distributions, and Entropic Measures of Uncertainty.
Graham WestMatthew I. SwindallBen KeenerTimothy PlayerAlex C. WilliamsJames H. BrusuelasJohn F. WallinPublished in: CoRR (2022)
Keyphrases
- risk measures
- neural network
- probability measures
- low quality
- gaussian distribution
- restricted boltzmann machine
- base classifiers
- noisy environments
- random forests
- ensemble learning
- evaluation measures
- random forest
- human subjects
- uncertain data
- information theory
- probability distribution
- data streams
- training data
- feature selection
- learning algorithm
- machine learning