Learning Despite Concept Variation by Finding Structure in Attribute-based Data.
Eduardo PérezLarry A. RendellPublished in: ICML (1996)
Keyphrases
- prior knowledge
- data sets
- data collection
- image data
- data processing
- raw data
- background knowledge
- database
- training data
- data analysis
- online learning
- learning problems
- learning algorithm
- synthetic data
- hidden variables
- learning models
- data quality
- original data
- machine learning
- structural information
- reinforcement learning
- computer systems
- probability distribution
- high quality
- learning process
- high dimensional data
- learning systems
- privacy preserving
- metadata
- experimental data
- data distribution
- network structure
- decision trees
- data points
- noisy data
- relational databases
- data structure