SDBM: Supervised Decision Boundary Maps for Machine Learning Classifiers.
Artur A. M. OliveiraMateus EspadotoRoberto Hirata Jr.Alexandru C. TeleaPublished in: VISIGRAPP (3: IVAPP) (2022)
Keyphrases
- decision boundary
- machine learning
- support vector machine
- training samples
- learning algorithm
- pattern classification
- supervised learning
- labeled and unlabeled data
- training set
- linear classifiers
- feature selection
- hyperplane
- nearest neighbor
- data distribution
- unsupervised learning
- machine learning algorithms
- class membership
- data points
- machine learning methods
- unlabeled data
- svm classifier
- training data
- support vectors
- semi supervised learning
- active learning
- semi supervised
- kernel function
- pattern recognition
- class probabilities
- learning problems
- data streams
- computer vision
- text mining
- reinforcement learning
- data sets
- multi class
- training examples
- feature space
- data analysis
- minority class