Feature Selection and Hyperparameter Fine-tuning in Artificial Neural Networks for Wood Quality Classification.
Mateus RoderLeandro Aparecido PassosJoão Paulo PapaAndré Luis Debiaso RossiPublished in: CoRR (2023)
Keyphrases
- fine tuning
- feature selection
- artificial neural networks
- model selection
- classification accuracy
- text classification
- accurate classification
- support vector
- feature set
- method for feature selection
- machine learning
- classification models
- support vector machine
- feature space
- pattern recognition
- feature extraction
- viable alternative
- text categorization
- decision trees
- high quality
- classification performances
- high dimensionality
- classification algorithm
- feature subset
- small sample
- discriminative features
- unsupervised learning
- class labels
- fine tune
- class separability
- irrelevant features
- mutual information
- image classification
- selected features
- feature selection algorithms
- data pre processing
- fine tuned
- support vector machine svm
- back propagation
- generalization ability
- feature selection and classification
- feature weighting
- multi layer perceptron
- hyperparameters
- dimensionality reduction
- pattern classification
- microarray data
- cross validation
- computational intelligence