Orthogonal Machine Learning: Power and Limitations.
Ilias ZadikLester W. MackeyVasilis SyrgkanisPublished in: ICML (2018)
Keyphrases
- machine learning
- machine learning methods
- learning algorithm
- power consumption
- machine learning algorithms
- knowledge acquisition
- text classification
- knowledge discovery
- pattern recognition
- information extraction
- natural language processing
- artificial intelligence
- learning systems
- decision trees
- power distribution
- supervised machine learning
- machine learning approaches
- supervised classification
- statistical learning
- learning problems
- learning tasks
- kernel methods
- information systems
- model selection
- reinforcement learning
- data mining
- computational intelligence
- learning environment
- computer science
- unsupervised learning
- statistical methods
- support vector machine
- inductive learning
- knowledge representation
- feature vectors
- explanation based learning
- data analysis