The Disagreement Deconvolution: Bringing Machine Learning Performance Metrics In Line With Reality.
Mitchell L. GordonKaitlyn ZhouKayur PatelTatsunori HashimotoMichael S. BernsteinPublished in: CHI (2021)
Keyphrases
- machine learning
- active learning
- machine learning methods
- learning algorithm
- least squares
- machine learning algorithms
- computational intelligence
- denoising
- artificial intelligence
- decision trees
- pattern recognition
- image restoration
- knowledge acquisition
- learning systems
- model selection
- data mining
- machine learning approaches
- explanation based learning
- support vector machine
- natural language processing
- motion deblurring
- knowledge representation
- data analysis
- reinforcement learning
- statistical methods
- kernel methods
- computer vision
- image denoising
- similarity metrics
- data sets
- inductive logic programming
- learning tasks
- natural language
- semi supervised learning
- wavelet transform