An Algorithm for Learning Smaller Representations of Models With Scarce Data.
Adrian de WynterPublished in: CoRR (2020)
Keyphrases
- learned models
- learning algorithm
- prior knowledge
- learning models
- data sets
- probabilistic model
- accurate models
- easily interpretable
- noisy data
- input data
- bayesian methods
- dynamic programming
- detection algorithm
- incomplete data
- data analysis
- learning rules
- learning process
- experimental data
- missing data
- large scale data sets
- expectation maximization
- computational complexity
- objective function
- hidden variables
- training data
- surface meshes
- data reduction
- learning tasks
- preprocessing
- np hard
- machine learning algorithms
- high dimensional data
- classification trees
- learning phase
- bayesian networks
- model selection
- worst case
- relational domains
- database