Automated Machine Learning in Waste Classification: A Revolutionary Approach to Efficiency and Accuracy.
Zhitong LeeYing-Cheng WuXukang WangPublished in: ICCPR (2023)
Keyphrases
- machine learning
- classification accuracy
- decision trees
- machine learning methods
- automated classification
- feature selection
- text classification
- computational efficiency
- roc analysis
- machine learning algorithms
- pattern recognition
- supervised machine learning
- predictive accuracy
- generalization ability
- higher classification accuracy
- classification algorithm
- automatic classification
- supervised classification
- feature extraction
- computational complexity
- correct classification
- accuracy rate
- support vector machine
- computational cost
- classification rules
- classification method
- classification models
- knowledge acquisition
- image classification
- data reduction
- classification rate
- fold cross validation
- pattern classification
- classification scheme
- confusion matrix
- svm classifier
- support vector
- computer science
- data analysis
- active learning
- supervised learning
- unsupervised learning
- class labels
- training samples
- roc curve
- text mining
- natural language processing
- error rate
- classification systems
- information extraction
- prediction accuracy
- individual classifiers
- multiple classifier systems
- feature vectors
- preprocessing
- cost sensitive
- learning problems
- data sets