Results 11 to 20 of about 8,794,560 (381)
An overview of gradient descent optimization algorithms [PDF]
Vestnik komp iuternykh i informatsionnykh tekhnologii, 2016 The statistical testing technique is considered to compare the metrics values of machine learning models on a test set. Since the values of metrics depend not only on the models, but also on the data, it may turn out that different models are the best on
Sebastian Ruder
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IEEE Transactions on Automatic Control, 2010 This textbook is based on lectures given by the authors at MIPT (Moscow), HSE (Moscow), FEFU (Vladivostok), V.I. Vernadsky KFU (Simferopol), ASU (Republic of Adygea), and the University of Grenoble-Alpes (Grenoble, France).
Stephen P. Boyd, L. Vandenberghe
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SSRN Electronic Journal, 2008 On average, estimates of trade elasticities are smaller in aggregate data than at sector level. This is an artifact of aggregation. Estimations performed on aggregate data constrain sector elasticities to homogeneity, which creates a heterogeneity bias. The paper shows such a bias exists in two prominent approaches used to estimate elasticities, which
Imbs, Jean, Mejean, Isabelle
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A two-stage multiobjective evolutionary ensemble learning for silicon prediction in blast furnace
Complex & Intelligent Systems, 2023 Silicon content of molten iron is an important indicator in the blast furnace ironmaking process. Accurate prediction of silicon content is very important for monitoring the operating condition of the blast furnace and the quality of the molten iron ...
Qiang Li +3 more
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Optimal Pricing for Optimal Transport [PDF]
Set-Valued and Variational Analysis, 2014 Suppose that $c(x,y)$ is the cost of transporting a unit of mass from $x\in X$ to $y\in Y$ and suppose that a mass distribution $ $ on $X$ is transported optimally (so that the total cost of transportation is minimal) to the mass distribution $ $ on $Y$.
Sedi Bartz, Simeon Reich
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Minds and Machines, 2023 AbstractOptimization is about finding the best available object with respect to an objective function. Mathematics and quantitative sciences have been highly successful in formulating problems as optimization problems, and constructing clever processes that find optimal objects from sets of objects.
Cesare Carissimo, Marcin Korecki
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Optimal pits and optimal transportation [PDF]
ESAIM: Mathematical Modelling and Numerical Analysis, 2015 In open pit mining, one must dig a pit, that is, excavate the upper layers of ground before reaching the ore. The walls of the pit must satisfy some geomechanical constraints, in order not to collapse. The question then arises how to mine the ore optimally, that is, how to find the optimal pit.
Ivar Ekeland +2 more
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Optimising the laser-welded butt-joints of medium carbon steel using RSM [PDF]
, 2005 The optimization capabilities in design-expert software were used to optimise the keyhole parameters (i.e. maximize penetration (P) and minimise the heat input, width of welded zone, (W) and width of heat affected zone (WHAZ)) in CW CO2 laser butt ...
Benyounis, Khaled +2 more
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Advances in Metaheuristic Algorithms for Optimal Design of Structures, 2019 Gerhard Venter (gventer_vrand.conl) *Vanderpla(ds Research and Development, bit.1767 S 8th St'reef. Suite 100, Colorado Springs. CO 80906Jaroslaw Sobieszczanski-Sobieski (j.sobieski:_larc.nasa.gov) *A_4SA Lcmgley Research Ce,_terMS 240, Hampton, I:4 ...
Gerhard Venter +1 more
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PLoS ONE, 2008 Semelparous organisms have a simple life cycle characterized by immediate death after reproduction. We assume that semelparous life histories can be separated into a juvenile non-reproductive period followed by an adult period during which reproduction is possible. We derive formulae for the optimal age and size at reproduction and for the optimal size
Vaupel, James W. +2 more
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