Possibilistic Estimation of Distributions to Leverage Sparse Data in Machine Learning.
Andrea G. B. TettamanziDavid EmsellemCélia da Costa PereiraAlessandro VenerandiGiovanni FuscoPublished in: IPMU (1) (2020)
Keyphrases
- data analysis
- sparse data
- machine learning
- high dimensional
- data mining
- emerging patterns
- knowledge discovery
- probability distribution
- random samples
- feature selection
- real world
- neural network
- pattern recognition
- learning algorithm
- natural language processing
- multi dimensional
- text classification
- random projections
- databases
- feature space
- multiscale
- information extraction
- data warehouse