The Challenge of Classification Confidence Estimation in Dynamically-Adaptive Neural Networks.
Francesco Dall'OccoAndrés Bueno-CrespoJosé L. AbellánDavide BertozziMichele FavalliPublished in: SAMOS (2021)
Keyphrases
- neural network
- pattern recognition
- classification accuracy
- support vector
- classification process
- density estimation
- confidence scores
- decision trees
- machine learning methods
- multi layer perceptron
- classification systems
- image classification
- training set
- fuzzy logic
- multi layer
- support vector machine svm
- back propagation
- parzen window
- self organizing maps
- classification method
- feature extraction
- pattern classification
- classification scheme
- cross validation
- high confidence
- learning vector quantization
- fuzzy decision trees
- estimation algorithm
- training process
- estimation error
- unsupervised learning
- model selection
- dimensionality reduction
- artificial neural networks
- preprocessing
- feature selection
- data mining