Quantifying Uncertainty with Probabilistic Machine Learning Modeling in Wireless Sensing.
Amit KachrooSai Prashanth ChinnapalliPublished in: CoRR (2022)
Keyphrases
- machine learning
- handling uncertainty
- uncertain data
- wireless networks
- pattern recognition
- bayesian networks
- machine learning methods
- probabilistic model
- machine learning algorithms
- statistical modeling
- probability theory
- decision theory
- belief functions
- probability measure
- inductive logic programming
- conditional probabilities
- data acquisition
- data mining
- learning systems
- sensor networks
- knowledge representation
- mobile devices
- computer vision
- learning algorithm
- real time
- generative model
- semi supervised
- support vector machine
- active learning
- decision making
- reasoning under uncertainty
- body sensor networks