Maximum Bayes Boundary-Ness Training For Pattern Classification.
Masahiro SendaDavid HaHideyuki WatanabeShigeru KatagiriMiho OhsakiPublished in: SPML (2019)
Keyphrases
- pattern classification
- feature extraction
- pattern recognition
- mass spectrometry data
- nearest neighbor rule
- radial basis function neural network
- probabilistic neural network
- fuzzy classifier
- vowel recognition
- pattern classification problems
- parzen window
- training samples
- decision trees
- active learning
- decision boundary
- linear dimensionality reduction
- object recognition
- human identification
- supervised learning
- support vector
- neural network