Minimal Learning Machine: Theoretical Results and Clustering-Based Reference Point Selection.
Joonas HämäläinenAlisson S. C. AlencarTommi KärkkäinenCésar L. C. MattosAmauri H. Souza JúniorJoão P. P. GomesPublished in: CoRR (2019)
Keyphrases
- reference point
- learning machines
- reference points
- support vector
- training algorithm
- support vector machine
- ensemble learning
- theoretical analysis
- vc dimension
- learning tasks
- learning algorithm
- region of interest
- model selection
- neural network
- hypervolume indicator
- multi task learning
- convex hull
- generalization error
- learning problems
- machine learning algorithms
- np hard
- pattern recognition
- high quality
- machine learning