Enabling LTE RACH Collision Multiplicity Detection via Machine Learning.
Davide MagrinChiara PielliCedomir StefanovicMichele ZorziPublished in: CoRR (2018)
Keyphrases
- machine learning
- object detection
- detection algorithm
- automatic detection
- detection accuracy
- feature selection
- detection rate
- learning tasks
- information extraction
- quality of service
- natural language processing
- false positives
- false alarms
- statistical methods
- machine learning methods
- data mining
- learning systems
- collision detection
- pattern recognition
- knowledge representation
- anomaly detection
- active learning
- data analysis
- event detection
- computer vision
- collision avoidance
- video sequences
- natural language
- computer science
- semi supervised
- text mining
- computational intelligence
- machine learning algorithms
- detection method
- knowledge acquisition