Machine Learning and IoT for prediction and detection of stress.
Purnendu Shekhar PandeyPublished in: ICCSA (7) (2017)
Keyphrases
- machine learning
- automatic detection
- management system
- false alarms
- detection rate
- detection algorithm
- knowledge acquisition
- prediction accuracy
- pattern recognition
- detection accuracy
- false positives
- prediction algorithm
- model selection
- explanation based learning
- learning systems
- artificial intelligence
- neural network
- detection method
- ubiquitous computing
- semi supervised learning
- machine learning methods
- machine learning and statistical
- data analysis
- data mining
- feature selection
- reinforcement learning
- anomaly detection
- expert systems
- object detection
- learning tasks
- event detection
- active learning
- prediction model
- computer science
- natural language
- information extraction
- information retrieval
- protein secondary structure prediction
- text mining