Optimizing Neural Networks for Patent Classification.
Louay AbdelgawadPeter KlueglErdan GencStefan FalknerFrank HutterPublished in: ECML/PKDD (3) (2019)
Keyphrases
- neural network
- pattern recognition
- classification method
- machine learning
- learning vector quantization
- decision trees
- text classification
- feature selection
- artificial neural networks
- classification accuracy
- classification systems
- classification scheme
- image classification
- automatic classification
- benchmark datasets
- association rules
- genetic algorithm
- classification process
- multi layer perceptron
- training process
- classification models
- training samples
- feature extraction
- support vector machine
- support vector
- classification rules
- feed forward
- support vector machine svm
- supervised learning
- feature vectors
- high dimensional
- rule extraction
- neural networks and support vector machines