Learning Discriminative Bayesian Networks from High-Dimensional Continuous Neuroimaging Data.
Luping ZhouLei WangLingqiao LiuPhilip OgunbonaDinggang ShenPublished in: IEEE Trans. Pattern Anal. Mach. Intell. (2016)
Keyphrases
- data sets
- bayesian networks
- database
- data collection
- data analysis
- data points
- prior knowledge
- data sources
- data structure
- high dimensional
- learning process
- sparse data
- hidden variables
- background knowledge
- learning algorithm
- machine learning
- unsupervised learning
- high dimensional data
- learning tasks
- supervised learning
- continuous data
- expert knowledge
- noisy data
- semi supervised
- probability distribution
- learning models
- incomplete data
- causal models
- reinforcement learning
- high dimensional spaces
- discriminative learning
- training data
- learning bayesian networks