Exploiting Class Learnability in Noisy Data.
Matthew KlawonnEric HeimJames A. HendlerPublished in: AAAI (2019)
Keyphrases
- noisy data
- positive data
- noise tolerant
- statistical queries
- noise free
- learning algorithm
- finite automata
- inductive inference
- missing values
- learning from noisy data
- pac learnability
- regular languages
- missing data
- training data
- high dimensional
- machine learning
- neural network
- boolean functions
- pattern languages
- input data
- grammatical inference
- nearest neighbor
- feature extraction
- class noise
- vapnik chervonenkis dimension
- data sets