Results 11 to 20 of about 12,796 (278)
G-optimal designs for hierarchical linear models: an equivalence theorem and a nature-inspired meta-heuristic algorithm [PDF]
Soft Computing, 2021 Abstract Hierarchical linear models are widely used in many research disciplines and estimation issues for such models are generally well addressed. Design issues are relatively much less discussed for hierarchical linear models but there is an increasing interest as these models grow in popularity.
Liu, Xin +3 more
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On sufficiency in multiobjective programming involving generalized (G,C,ρ)-type I functions [PDF]
Yugoslav Journal of Operations Research, 2013 In this paper, a new class of (G,C,ρ)-type I function is introduced so as their generalizations.’ should be replaced by ’functions and their generalizations are introduced. We consider a class of differentiable multiobjective optimization problems and
Singh Yadvendra +3 more
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On Consensus-Optimality Trade-offs in Collaborative Deep Learning
Frontiers in Artificial Intelligence, 2021 In distributed machine learning, where agents collaboratively learn from diverse private data sets, there is a fundamental tension between consensus and optimality.
Zhanhong Jiang +3 more
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Rancangan G-Optimal pada Peningkatan Kadar Kemurnian Silikon Dioksida
Sainmatika: Jurnal Ilmiah Matematika dan Ilmu Pengetahuan Alam, 2022 Rancangan percobaan merupakan serangkaian uji yang bertujuan mengamati dan mengidentifikasi perubahan-perubahan pada output respon disebabkan oleh perubahan-perubahan pada variabel input dari suatu proses. Penelitian ini bertujuan untuk mendapatkan rancangan terbaik untuk peningkatan kadar SiO2. Silikon Dioksida (SiO2) merupakan salah satu mineral yang
Nindya Wulandari +3 more
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Optimum design accounting for the global nonlinear behavior of the model [PDF]
, 2014 Among the major difficulties that one may encounter when estimating parameters in a nonlinear regression model are the nonuniqueness of the estimator, its instability with respect to small perturbations of the observations and the presence of local ...
Pronzato, Luc, Pázman, Andrej
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Fast Graph Subset Selection Based on G-optimal Design
, 2021 Graph sampling theory extends the traditional sampling theory to graphs with topological structures. As a key part of the graph sampling theory, subset selection chooses nodes on graphs as samples to reconstruct the original signal. Due to the eigen-decomposition operation for Laplacian matrices of graphs, however, existing subset selection methods ...
Li, Zhengpin +4 more
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Energy Reports, 2022 A model of a finite potential source irreversible isothermal chemical engine (ICE) cycle with bypass mass leakage and mass resistance is established. Mass transfer processes are assumed to obey linear mass transfer law [g∝Δ(μ)] in linear irreversible ...
Lingen Chen, Shaojun Xia
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On Strongly Generalized Preinvex Fuzzy Mappings
Journal of Mathematics, 2021 In this article, we introduce a new notion of generalized convex fuzzy mapping known as strongly generalized preinvex fuzzy mapping on the invex set. Firstly, we have investigated some properties of strongly generalized preinvex fuzzy mapping.
Peide Liu +3 more
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Exploration of D-, A-, I- and G- Optimality Criteria in Mixture Modeling
Asian Journal of Probability and Statistics, 2021 A design optimality criterion, such as D-, A-, I-, and G- optimality criteria, is often used to analyze, evaluate and compare different designs options in mixture modeling test. A mixture test is an experiment where the descriptive variable and response rely only on the mixture's relative ratio in the mix but not its composition.
Julius K. Koech +2 more
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Shrinkage simplex-centroid designs for a quadratic mixture model
Journal of Industrial Engineering International, 2017 A simplex-centroid design for q mixture components comprises of all possible subsets of the q components, present in equal proportions. The design does not contain full mixture blends except the overall centroid.
Taha Hasan, Sajid Ali, Munir Ahmed
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