Random Feature Approximation for Online Nonlinear Graph Topology Identification.
Rohan MoneyJoshin KrishnanBaltasar Beferull-LozanoPublished in: MLSP (2021)
Keyphrases
- online learning
- vector representation
- linear approximation
- neural network
- small world
- fully connected
- connected components
- graph model
- graph structure
- central limit theorem
- feature selection
- graph theoretic
- graph representation
- preprocessing stage
- graph theory
- bipartite graph
- approximation algorithms
- real time
- random walk
- topological features
- numerical integration
- taylor series expansion
- spanning tree
- directed acyclic graph
- closed form
- feature set
- np hard
- control system