Improving Noise Robustness through Abstractions and its Impact on Machine Learning.
Alfredo IbiasKarol CapalaVarun Ravi VarmaAnna DrozdzJosé L. R. SousaPublished in: CoRR (2024)
Keyphrases
- machine learning
- greater robustness
- learning algorithm
- noise level
- machine learning algorithms
- signal to noise ratio
- high level
- machine learning methods
- information extraction
- image noise
- machine learning approaches
- learning problems
- missing data
- knowledge acquisition
- text mining
- random noise
- noise model
- neural network
- computer science
- additive noise
- pattern recognition
- noise immunity
- computer vision
- noise reduction
- artificial intelligence
- salt pepper
- learning systems
- noisy environments
- noise sensitivity
- noise removal
- explanation based learning
- inductive learning
- computational efficiency
- text classification
- denoising
- natural language processing
- supervised learning
- data analysis
- reinforcement learning
- feature selection
- data mining