Probabilistic Learning Vector Quantization with Cross-Entropy for Probabilistic Class Assignments in Classification Learning.
Andrea VillmannMarika KadenSascha SaralajewThomas VillmannPublished in: ICAISC (1) (2018)
Keyphrases
- learning vector quantization
- cross entropy
- supervised learning
- learning algorithm
- probabilistic model
- neural network
- decision trees
- active learning
- support vector
- self organizing maps
- feature extraction
- classification accuracy
- bayesian networks
- generative model
- support vector machine
- data sets
- machine learning
- learning rules
- maximum likelihood
- text classification
- feature vectors
- artificial neural networks
- feature space
- reinforcement learning