Name
Abstract | ||
|---|---|---|
This paper proposes homological analysis of statistical dependency graph. If a dependency graph model satisfy the condition of a chain complex, homological algebra can be applied. Especially, the degree of freedom can be viewed as a dual space of an original complex. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/GrC.2013.6740426 | Granular Computing |
Keywords | Field | DocType |
algebra,graph theory,statistical analysis,homological algebra analysis,statistical dependency graph model,Cohomology,Homology,Pearson Residual,Statistical Independence | Integral graph,Artificial intelligence,Filtered algebra,Exponential random graph models,Algebraic graph theory,Dependency graph,Graph theory,Graph algebra,Discrete mathematics,Algebra,Pattern recognition,Tutte polynomial,Mathematics | Conference |
Citations | PageRank | References |
0 | 0.34 | 5 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shusaku Tsumoto | 1 | 1820 | 294.19 |
| Shoji Hirano | 2 | 560 | 99.17 |