Minimal Learning Machine: A novel supervised distance-based approach for regression and classification.
Amauri Holanda de Souza JúniorFrancesco CoronaGuilherme De A. BarretoYoan MichéAmaury LendassePublished in: Neurocomputing (2015)
Keyphrases
- learning machines
- support vector
- regression problems
- supervised learning
- model selection
- support vector machine
- learning algorithm
- classification accuracy
- machine learning
- feature selection
- pattern recognition
- classification algorithm
- support vector machine svm
- decision trees
- benchmark datasets
- cross validation
- feature vectors
- feature extraction
- training set
- ensemble learning
- generalization ability
- learning problems
- distance measure
- text classification
- unsupervised learning
- generalization error
- euclidean distance
- training algorithm
- data mining
- machine learning methods
- worst case
- neural network
- semi supervised
- feature space
- objective function
- training data
- e learning