Feature Selection for Multi-label Classification with Minimal Learning Machine.
Joakim LinjaJoonas HämäläinenTommi KärkkäinenPublished in: ESANN (2023)
Keyphrases
- multi label classification
- learning machines
- feature selection
- support vector
- multi label
- text categorization
- binary classification
- learning tasks
- support vector machine
- model selection
- text classification
- ensemble learning
- multi class
- learning problems
- semi supervised learning
- binary classifiers
- multi task
- classification algorithm
- image annotation
- classification accuracy
- semi supervised
- training examples
- machine learning
- unsupervised learning
- learning algorithm
- feature space
- feature set
- cross validation
- kernel methods
- graph cuts
- multi task learning
- feature extraction
- generalization error
- pattern recognition
- feature subset
- image classification
- k nearest neighbor
- feature vectors
- svm classifier
- unlabeled data
- computer vision
- knn
- supervised learning
- artificial neural networks
- radial basis function
- high dimensional
- class labels
- higher order
- naive bayes
- image segmentation