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Identifying dependencies in mathematical data via predictive importance
Matej Novoselec, Ljupčo Todorovski, David E. Narváez
Magistrsko delo
Oznake: AI for mathematics;machine learning;predictive importance;dependency detection;online encyclopedia of integer sequences;OEIS;cubic vertex-transitive graphs;CVTG;
We consider the problem of identifying subsets of variables that are likely to participate in an underlying (possibly unknown) relationship within a mathematical database. By treating each variable as a target, the proposed approach aggregates various predictive importance measures from a diverse se ...
Leto: 2026 Vir: Fakulteta za matematiko in fiziko (UL FMF)
Št. zadetkov: 1
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