Deep Learning Based Resource Allocation: How Much Training Data is Needed?
Karl-Ludwig BesserBho MatthiesenAlessio ZapponeEduard A. JorswieckPublished in: SPAWC (2020)
Keyphrases
- resource allocation
- deep learning
- training data
- unsupervised learning
- resource management
- unsupervised feature learning
- resource allocation problems
- machine learning
- supervised learning
- data sets
- optimal resource allocation
- learning algorithm
- mental models
- training examples
- allocation problems
- decision trees
- training set
- weakly supervised
- deep architectures
- allocate resources
- co occurrence
- feature extraction
- allocation strategies