Societal Issues in Machine Learning: When Learning from Data is Not Enough.
Davide BacciuBattista BiggioPaulo LisboaJosé D. MartínLuca OnetoAlfredo VellidoPublished in: ESANN (2019)
Keyphrases
- machine learning
- data sets
- data collection
- learning systems
- learning algorithm
- supervised learning
- learning process
- data analysis
- learning models
- prior knowledge
- data structure
- image data
- unsupervised learning
- statistical analysis
- knowledge acquisition
- learning problems
- learning tasks
- data distribution
- decision trees
- online learning
- raw data
- training data
- database
- human experts
- data processing
- databases
- noisy data
- e learning
- data mining techniques
- support vector machine
- data points
- probability distribution
- data sources
- active learning
- xml documents
- reinforcement learning