Results 231 to 240 of about 370,118 (272)
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A clustering-based coordinate exchange algorithm for generating G-optimal experimental designs
Journal of Statistical Computation and Simulation, 2015In the optimal experimental design literature, the G-optimality is defined as minimizing the maximum prediction variance over the entire experimental design space. Although the G-optimality is a highly desirable property in many applications, there are few computer algorithms developed for constructing G-optimal designs. Some existing methods employ an
Moein Saleh, Rong Pan
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Model-Robust Two-Level Designs Using Coordinate Exchange Algorithms and a Maximin Criterion
Technometrics, 2012We propose a candidate-list-free exchange algorithm that facilitates construction of exact, model-robust, two-level experiment designs. In particular, we investigate two model spaces previously considered in the literature. The first assumes that all main effects and an unknown subset of two-factor interactions are active, but that the experimenter ...
Byran J. Smucker +2 more
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Computational Statistics & Data Analysis, 2014
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Sambo, Francesco +2 more
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Sambo, Francesco +2 more
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Quality Engineering, 2005
This article describes the solution to a unique and challenging mixture experiment design problem involving (1) 19 and 21 components for two different parts of the design, (2) many single-component and multicomponent constraints, (3) augmentation of existing data, (4) a layered design developed in stages, and (5) a no-candidate-point optimal design ...
Greg F. Piepel +2 more
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This article describes the solution to a unique and challenging mixture experiment design problem involving (1) 19 and 21 components for two different parts of the design, (2) many single-component and multicomponent constraints, (3) augmentation of existing data, (4) a layered design developed in stages, and (5) a no-candidate-point optimal design ...
Greg F. Piepel +2 more
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Advances in Statistics, Combinatorics and Related Areas, 2002
Box & Draper[1] reported ve m-factor D-optimal minimum-point second order designs for m = 2; : : : ; 5. The m coordinates of each of the n design points lie in the interval [i1; 1]. This paper describes a method of constructing these designs and compares new designs with those of Box & Draper.
Nam-Ky Nguyen
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Box & Draper[1] reported ve m-factor D-optimal minimum-point second order designs for m = 2; : : : ; 5. The m coordinates of each of the n design points lie in the interval [i1; 1]. This paper describes a method of constructing these designs and compares new designs with those of Box & Draper.
Nam-Ky Nguyen
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Communication Algorithm-Architecture Co-Design for Distributed Deep Learning
International Symposium on Computer Architecture, 2021Large-scale distributed deep learning training has enabled developments of more complex deep neural network models to learn from larger datasets for sophisticated tasks.
Jiayi Huang +5 more
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Intrusion detection in mobile ad-hoc network using Hybrid Reactive Search and Bat algorithm
International Journal of Intelligent Unmanned Systems, 2021PurposeThe mischievous nodes that defy the standard corrupt the exhibition of good nodes considerably. Therefore, an intrusion discovery mechanism should be included to the mobile ad-hoc network (MANET).
R. Srilakshmi, Jayabhaskar Muthukuru
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DroNet@MobiSys, 2022
UAVs can be directed to perform multiple tasks efficiently without human intervention. This is especially useful in tasks that require group coordination since UAVs can exchange information and alter their trajectories based on dynamic data.
Baisakhi Chatterjee, R. Dutta
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UAVs can be directed to perform multiple tasks efficiently without human intervention. This is especially useful in tasks that require group coordination since UAVs can exchange information and alter their trajectories based on dynamic data.
Baisakhi Chatterjee, R. Dutta
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Stochastic coordinate-exchange optimal designs with complex constraints
Quality Engineering, 2018The paper provides a method to construct the exact optimal experimental designs for both physical and computer experiments with any regular or irregularly constrained design space.
Lulu Kang
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A Distributed MIMO Relay Scheme Inspired by Backpropagation Algorithm
Global Communications Conference, 2021This paper studies a distributed scheme for a multi-input multi-output (MIMO) relay network, where the transmit nodes are subject to the nonlinear instantaneous power constraints.
Rui Wang, Yi Jiang, Wei Zhang
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