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DAGs and GRaSP Causal Inference Algorithms Combined and Applied to the Calculation of Insulin Bolus in Patients with Type 1 Diabetes. [PDF]

open access: yesEntropy (Basel)
Contreras-Jiménez R   +5 more
europepmc   +1 more source

A Framework for the Greedy Algorithm

open access: yesDiscrete Applied Mathematics, 2002
Matroids are characterized by the fact that the greedy algorithm finds bases of largest weight. There are, however, optimization problems for which the greedy algorithm solves the optimization problem for many, but not all, linear weight functions and for such situations a theory is developed to efficiently identify instances on which the greedy ...
Andrew J. Vince
exaly   +4 more sources
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Greedy by Chance - Stochastic Greedy Algorithms

2010 Sixth International Conference on Autonomic and Autonomous Systems, 2010
For many complex combinatorial optimization problems, obtaining good solutions quickly is of value either by itself or as part of an exact algorithm. Greedy algorithms to obtain such solutions are known for many problems. In this paper we present stochastic greedy algorithms which are perturbed versions of standard greedy algorithms, and report on ...
Viswanathan Kodaganallur, Anup K. Sen
openaire   +1 more source

Conical Greedy Algorithm

Mathematical Notes, 2022
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +2 more sources

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