Adjacent Inputs With Different Labels and Hardness in Supervised Learning.
Sebastián A. GrilloJulio César Mello RománJorge Daniel Mello-RománJose Luis Vazquez NogueraMiguel García-TorresFederico DivinaPedro E. Gardel-SotomayorPublished in: IEEE Access (2021)
Keyphrases
- supervised learning
- class labels
- training data
- training examples
- training set
- unsupervised learning
- reinforcement learning
- active learning
- semi supervised
- learning algorithm
- labeled examples
- semi supervised learning
- np hard
- learning problems
- supervised classification
- label propagation
- multi label
- image labeling
- pairwise
- statistical learning
- learning tasks
- phase transition
- input data
- labeled data
- worst case
- computational complexity
- database
- weakly labeled
- ranking functions
- information theoretic
- training samples
- np complete
- high dimensional
- neural network