Data Augmentation Algorithm Based on Generative Antagonism Networks (GAN) Model for Optical Transmission Networks (OTN).
Liang ChenKunpeng ZhengYang LiXuelian YangHan ZhangYangyang LiangJunhua HuangYuan ZhangPengfei XieYongli ZhaoPublished in: CECNet (2021)
Keyphrases
- input data
- network structure
- probabilistic model
- objective function
- mathematical model
- data sets
- prior information
- experimental data
- recognition algorithm
- fully connected
- noisy data
- theoretical analysis
- probability distribution
- optimal solution
- cost function
- em algorithm
- social networks
- classification algorithm
- prior knowledge
- expectation maximization
- network model
- network parameters
- data sources
- training data
- similarity measure
- bayesian framework
- parameter estimation
- missing data
- power law
- learned models
- estimation algorithm
- data structure
- small world
- data analysis
- learning algorithm
- k means
- clustering method
- segmentation algorithm
- np hard
- data mining techniques
- neural network
- decision trees
- statistical methods
- complex networks
- computational complexity
- high dimensional
- dynamic programming