Results 31 to 40 of about 4,928,656 (192)
Improving the objective function in minimum error rate training [PDF]
, 2009 In Minimum Error Rate Training (MERT), the parameters of an SMT system are tuned on a certain evaluation metric to improve translation quality. In this paper, we present empirical results in which parameters tuned on one metric (e.g.
He, Yifan, Way, Andy
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The problems of optimal design in the automotive industry
Transport, 2013 The paper considers the general problems of optimization of parameters of a vehicle at the design stage. The approaches to the solution of the task are set out.
Ivan Dyakov
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Вестник Самарского университета: Аэрокосмическая техника, технологии и машиностроение, 2020 The paper considers parametric optimization of the process of changing orbital parameters by using a spinning electrodynamic tether system. Changes in the semi-major axis and eccentricity are taken as the two major goals, and two control laws are ...
Hongshi Lu +2 more
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Variable metric inexact line-search based methods for nonsmooth optimization [PDF]
, 2015 We develop a new proximal-gradient method for minimizing the sum of a differentiable, possibly nonconvex, function plus a convex, possibly non differentiable, function.
Bonettini, Silvia +3 more
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CoAR: Congestion-Aware Routing Protocol for Low Power and Lossy Networks for IoT Applications
Sensors, 2018 The IPv6 routing protocol for low power and lossy networks (RPL) was designed to satisfy the requirements of a wide range of Internet of Things (IoT) applications, including industrial and environmental monitoring.
Khadak Singh Bhandari +2 more
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Multi-Topology Based QoS-Differentiation in RPL for Internet of Things Applications
IEEE Access, 2020 The rapid development of the Internet of Things (IoT) concept has promoted the presence of routing protocol for low power and lossy network (RPL). Unlike traditional applications, many applications envisioned for IoT networks may have different and ...
Khadak Singh Bhandari +2 more
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Dealing with Integer-valued Variables in Bayesian Optimization with Gaussian Processes [PDF]
, 2017 Bayesian optimization (BO) methods are useful for optimizing functions that are expensive to evaluate, lack an analytical expression and whose evaluations can be contaminated by noise. These methods rely on a probabilistic model of the objective function,
Garrido-Merchán, Eduardo C. +1 more
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Study of multi-objective optimal power flow of AC–DC hybrid system with DCpower flow controller
The Journal of Engineering, 2019 The DC power flow controller (DCPFC) is a hotspot in DC power flow analysis and control field, which can effectively improve the power flow control degree of DC power grid. The DCPFC is usually installed at the DC bus of the hub converter station.
Guoqing Li +5 more
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Linear Superiorization for Infeasible Linear Programming
, 2016 Linear superiorization (abbreviated: LinSup) considers linear programming (LP) problems wherein the constraints as well as the objective function are linear.
A Cegielski +11 more
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Research Progress on Technology Parameter Optimization of High-speed Dry Gear Hobbing
Journal of Harbin University of Science and Technology, 2022 Gear hobbing technology is one of the most widely used gear processing technologies. The emergence and gradual maturity of high-speed dry gear hobbing provide the technical conditions for the realization of green and energy-saving processing and ...
CHENG Yao-nan +4 more
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