Boltzmann Machine Topology Learning for Distributed Sensor Networks Using Loopy Belief Propagation Inference.
Cristina PicusLuigi CambriniWolfgang HerznerPublished in: ICMLA (2008)
Keyphrases
- boltzmann machine
- loopy belief propagation
- generative model
- maximum likelihood estimation
- learning rules
- distributed sensor networks
- prior knowledge
- graphical models
- learning algorithm
- active learning
- conditional random fields
- global constraints
- learning tasks
- structured prediction
- bayesian inference
- parameter estimation
- linear programming
- pairwise