Applying Machine Learning and Dynamic Resource Allocation Techniques in Fifth Generation Networks.
Christos John BourasEvangelos MichosIoannis ProkopiouPublished in: AINA (1) (2022)
Keyphrases
- dynamic resource allocation
- machine learning
- support vector machine
- resource allocation
- network structure
- machine learning methods
- decision trees
- pattern recognition
- knowledge discovery
- data mining
- allocation policies
- computer networks
- machine learning algorithms
- computational intelligence
- active learning
- learning algorithm
- artificial intelligence
- neural network
- generation process
- network design
- explanation based learning
- machine learning approaches
- computer vision
- feature selection
- case study
- text classification
- text mining
- information extraction
- data analysis
- support vector
- statistical methods
- learning problems
- computer science
- inductive learning
- natural language processing
- supervised learning
- network topologies
- network size
- knowledge representation