Feature Selection in Machine Learning for Knocking Noise detection.
Maria Eduarda Rosa da SilvaGiovani GracioliGustavo Medeiros de AraújoPublished in: SBESC (2022)
Keyphrases
- feature selection
- noise detection
- machine learning
- data preprocessing
- noise reduction
- text classification
- data cleaning
- noise free
- median filter
- text categorization
- support vector machine
- switching median filter
- preprocessing step
- feature space
- random forest
- impulsive noise
- reduction method
- classification accuracy
- decision trees
- feature ranking
- feature extraction
- impulse noise
- semi supervised learning
- feature subset
- feature selection algorithms
- learning algorithm
- support vector
- preprocessing
- dimensionality reduction
- noisy images
- machine learning methods
- data mining
- feature set
- knn
- image analysis