NILM as a regression versus classification problem: the importance of thresholding.
Daniel PreciosoDavid Gómez-UllatePublished in: CoRR (2020)
Keyphrases
- support vector
- machine learning
- support vector machine
- feature extraction
- automatic classification
- classification accuracy
- classification systems
- model selection
- pattern recognition
- feature vectors
- text classification
- training samples
- training set
- classification scheme
- decision trees
- pattern classification
- dimension reduction
- regression problems
- numeric values
- image processing
- image classification
- feature space
- denoising
- data sets
- neural network
- nearest neighbour
- image segmentation
- preprocessing
- classification models
- linear regression
- classification algorithm
- svm classifier
- regression model
- benchmark datasets
- gray level
- support vector machine svm
- edge detection
- post processing