Results 261 to 270 of about 709,020 (315)
Metaheuristic optimization of deep CNNs for multi-class diagnosis of cervical cancer and lymphoma. [PDF]
Sci RepAbdelhay EH, Elgamily KM, Badr WOE.
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A Sensor-Aware Decoupled Learning Framework for Robust Multi-Scale Time-Series Forecasting in Oil Production Systems. [PDF]
Sensors (Basel)Cheng G, Zhang W, Jin Z, Cai L.
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SIAM Journal on Algebraic Discrete Methods, 1985
Optimal set partitioning is the problem to find an (unlabeled) partition of a finite set of real numbers which minimizes a total cost, assumed to be the sum of costs contributed by the component subsets. Possibly the problem is constrained to partitions consisting of a fixed number k of subsets (k-partitioning) or to partitions with fixed shape, i.e ...
Hwang, F. K., Sun, Jing, Yao, E. Y.
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Optimal set partitioning is the problem to find an (unlabeled) partition of a finite set of real numbers which minimizes a total cost, assumed to be the sum of costs contributed by the component subsets. Possibly the problem is constrained to partitions consisting of a fixed number k of subsets (k-partitioning) or to partitions with fixed shape, i.e ...
Hwang, F. K., Sun, Jing, Yao, E. Y.
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Well-setness and scalarization in set optimization
Optimization Letters, 2015zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Mansi Dhingra, C. S. Lalitha
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OPTIMAL PORTFOLIO AND CONFIDENCE SET
Journal of Mathematical Sciences, 2022zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Beliavsky, Grigory, Danilova, Natalia
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Fundamenta Informaticae, 2010
Literature on the stubborn set and similar state space reduction methods presents numerous seemingly ad-hoc conditions for selecting the transitions that are investigated in the current state. There are good reasons to believe that the choice between them has a significant effect on reduction results, but not much has been published on this topic. This
Antti Valmari, Henri Hansen
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Literature on the stubborn set and similar state space reduction methods presents numerous seemingly ad-hoc conditions for selecting the transitions that are investigated in the current state. There are good reasons to believe that the choice between them has a significant effect on reduction results, but not much has been published on this topic. This
Antti Valmari, Henri Hansen
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Second-order optimality conditions for set optimization using coradiant sets
Optimization Letters, 2020zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Bin Yao, Shengjie Li
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