Towards Quantifying Sampling Bias in Network Inference.
Lisette Espin NoboaClaudia WagnerFariba KarimiKristina LermanPublished in: CoRR (2018)
Keyphrases
- network model
- inference process
- probabilistic inference
- genetic algorithm
- variance reduction
- peer to peer
- sample size
- network traffic
- computer networks
- wireless sensor networks
- random fields
- bayesian inference
- bayesian networks
- network management
- markov chain monte carlo
- learning algorithm
- neural network
- collective classification