Learning more Accurate Bayesian Networks in the CHC Approach by Adjusting the Trade-Off between Efficiency and Accuracy.
Jacinto AriasJosé A. GámezJosé Miguel PuertaPublished in: CAEPIA (2013)
Keyphrases
- trade off
- bayesian networks
- learning process
- high accuracy
- computational efficiency
- highly accurate
- learning problems
- neural network
- computational complexity
- learning systems
- online learning
- markov blanket
- hidden variables
- unsupervised learning
- multi objective
- prior knowledge
- higher education
- high precision
- active learning
- learning tasks
- reinforcement learning
- high quality
- bayesian network classifiers
- machine learning