On Estimating the Gradient of the Expected Information Gain in Bayesian Experimental Design.
Ziqiao AoJinglai LiPublished in: CoRR (2023)
Keyphrases
- information gain
- experimental design
- feature selection
- text categorization
- decision trees
- mutual information
- chi squared
- active learning
- sample size
- empirical studies
- correlation coefficient
- bayesian networks
- naive bayes
- machine learning
- data sets
- learning strategies
- support vector machine
- high dimensionality
- learning algorithm