Kernelization Using Structural Parameters on Sparse Graph Classes.
Jakub GajarskýPetr HlinenýJan ObdrzálekSebastian OrdyniakFelix ReidlPeter RossmanithFernando Sánchez VillaamilSomnath SikdarPublished in: ESA (2013)
Keyphrases
- maximum likelihood
- random walk
- sparse data
- parameter space
- multivariate gaussian distribution
- equivalence classes
- graph structure
- connected components
- structural information
- training data
- bipartite graph
- graph theory
- weighted graph
- graph representation
- sparse representation
- high dimensional
- sensitivity analysis
- structured data
- parameter estimation
- graph based algorithm