Detection for 5G-NOMA: An Online Adaptive Machine Learning Approach.
Daniyal Amir AwanRenato L. G. CavalcanteMasahiro YukawaSlawomir StanczakPublished in: ICC (2018)
Keyphrases
- machine learning
- object detection
- detection algorithm
- real time
- automatic detection
- detection method
- detection accuracy
- learning tasks
- online learning
- machine learning algorithms
- machine learning approaches
- false alarms
- computer vision
- detection rate
- natural language
- machine learning and data mining
- learning algorithm
- unsupervised learning
- artificial intelligence
- explanation based learning
- inductive logic programming
- inductive learning
- decision trees
- data analysis
- computer science
- pattern recognition
- detection scheme
- event detection
- false positives
- learning systems
- anomaly detection
- knowledge acquisition
- text classification
- computational intelligence
- text mining
- natural language processing
- supervised learning
- information extraction
- support vector machine
- image processing
- genetic algorithm
- neural network