Passive Loss Inference in Wireless Sensor Networks Using EM Algorithm.
Yu YangZhulin AnYongjun XuXiaowei LiCanfeng ChenPublished in: Wirel. Sens. Netw. (2010)
Keyphrases
- em algorithm
- wireless sensor networks
- expectation maximization
- gibbs sampling
- mixture model
- variational approximation
- maximum likelihood
- parameter learning
- parameter estimation
- bayesian model selection
- sum product algorithm
- generative model
- likelihood function
- gaussian mixture model
- maximum likelihood estimation
- hyperparameters
- incomplete data
- hidden variables
- maximum a posteriori
- bayesian networks
- finite mixture models
- expectation maximisation
- gaussian mixture
- probability density function
- log likelihood
- mixture modeling
- probabilistic inference
- model based clustering
- bayesian inference
- density estimation
- structured prediction
- log likelihood function
- likelihood maximization
- graphical models