Evolutionary Multi-Objective Multi-Tasking for Fuzzy Genetics-Based Machine Learning in Multi-Label Classification.
Yuichi OmozakiNaoki MasuyamaYusuke NojimaHisao IshibuchiPublished in: FUZZ-IEEE (2022)
Keyphrases
- multi label classification
- evolutionary multi objective
- machine learning
- multi tasking
- multi label
- semi supervised learning
- optimization algorithm
- text classification
- text categorization
- learning tasks
- image annotation
- operating system
- classification algorithm
- learning problems
- supervised learning
- binary classification
- semi supervised
- multi objective genetic algorithm
- data mining
- multi objective
- machine learning algorithms
- learning algorithm
- graph cuts
- neural network
- machine learning methods
- feature selection
- image classification
- information extraction
- virtual machine
- reinforcement learning
- data analysis
- support vector machine
- binary classifiers
- meta level
- natural language processing
- optimization method
- data sets
- multi class
- unlabeled data
- text mining
- multi class classification
- computer vision
- active learning
- unsupervised learning