Balancing Competing Objectives with Noisy Data: Score-Based Classifiers for Welfare-Aware Machine Learning.
Esther RolfMax SimchowitzSarah DeanLydia T. LiuDaniel BjörkegrenMoritz HardtJoshua BlumenstockPublished in: CoRR (2020)
Keyphrases
- noisy data
- machine learning
- machine learning algorithms
- training data
- machine learning methods
- decision trees
- machine learning approaches
- supervised classification
- roc analysis
- feature selection
- learning from noisy data
- noise free
- missing data
- support vector
- supervised learning
- pattern recognition
- noise tolerant
- naive bayes
- input data
- missing values
- learning tasks
- inductive learning
- classifier ensemble
- ensemble learning
- data analysis
- learning classifier systems
- support vector machine
- data mining
- high dimensional
- class distribution
- text classification
- learning algorithm
- feature extraction