Kernelization Using Structural Parameters on Sparse Graph Classes
Jakub GajarskýPetr HlinenýJan ObdrzálekSebastian OrdyniakFelix ReidlPeter RossmanithFernando Sánchez VillaamilSomnath SikdarPublished in: CoRR (2013)
Keyphrases
- equivalence classes
- sensitivity analysis
- graph theory
- graph representation
- maximum likelihood
- structural information
- parameter values
- graph structure
- high dimensional
- linear combination
- directed graph
- gaussian graphical models
- directed acyclic
- initial estimates
- sparse data
- graph model
- weighted graph
- structured data
- parameter estimation
- random walk
- expectation maximization
- input data