Learning Vector Quantization Methods for Interpretable Classification Learning and Multilayer Networks.
Thomas VillmannPublished in: IJCCI (2018)
Keyphrases
- learning vector quantization
- machine learning methods
- robust classification
- feature construction
- discriminative learning
- supervised learning
- learning algorithm
- classification method
- benchmark datasets
- multi category
- benchmark data sets
- classification accuracy
- learning models
- machine learning algorithms
- significant improvement
- reinforcement learning
- classification rules
- feature vectors
- pattern recognition
- classification systems
- incremental learning
- learning process
- empirical studies
- similarity measure
- decision trees
- neural nets
- supervised learning algorithms
- connectionist networks
- accurate classification
- kernel learning
- bayesian methods
- image data
- active learning
- unsupervised learning
- online learning
- image classification