Research map / Learning theory and algorithms / Combinatorial and search optimization
Proximal Graphical Event Models
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| PGEM instead of CPCIM (data-driven windows vs hand-chosen basis functions) | event dataset modeling · Bible (M = 20) | log likelihood: -140327 -> -138190 | Helped |
| PGEM instead of CPCIM | event dataset modeling · Leviathan (M = 10) | log likelihood: -19237 -> -18870 | Helped |
| PGEM instead of CPCIM | event dataset modeling · ICEWS countries | log likelihood: Brazil -11706 -> -8856; Mexico -5676 -> -6011 | Mixed |
| add parent structure (PGEM) instead of independent Poisson (SIP) (ablation) | event dataset modeling · ICEWS Brazil | log likelihood: -14289 -> -8856 | Helped |
| FBS-CW (coordinate-wise window optimization) vs FBS-IW (independent windows) (ablation) | PGEM learning · synthetic datasets | log likelihood | No clear effect |
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