Results 241 to 250 of about 1,645,700 (287)
DAGs and GRaSP Causal Inference Algorithms Combined and Applied to the Calculation of Insulin Bolus in Patients with Type 1 Diabetes. [PDF]
Contreras-Jiménez R +5 more
europepmc +1 more source
A Novel Optimal Layout Method for Rain Gauge Network Based on Mutual Information Entropy and Deep Learning Model. [PDF]
Huang Y, Lu X, Luo H, Liu B, Wang R.
europepmc +1 more source
A Multi-Strategy Kangaroo Escape Optimization Technique for Global Optimization, Engineering Design, and Near-Infrared Prediction of Praeruptorin Content. [PDF]
Zhang J +6 more
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A bio-inspired minimal model for non-stationary K-armed bandits. [PDF]
Danieli K, Lepperød ME.
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How Does Public Opinion Evolve in the Post-Truth Era? A Modeling and Simulation Study of Group Negative Emotion in Deviation Communities. [PDF]
Cao J, Yao M, Guo H, Chen Y, Bao Y.
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A Framework for the Greedy Algorithm
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, 2010For 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
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Mathematical Notes, 2022
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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