Results 21 to 30 of about 673,031 (326)

Stratifying Quotient Stacks and Moduli Stacks [PDF]

open access: yes, 2018
Recent results in geometric invariant theory (GIT) for non-reductive linear algebraic group actions allow us to stratify quotient stacks of the form [X/H], where X is a projective scheme and H is a linear algebraic group with internally graded unipotent radical acting linearly on X, in such a way that each stratum [S/H] has a geometric quotient S/H ...
Berczi, G, Hoskins, V, Kirwan, F
openaire   +3 more sources

GA-stacking: Evolutionary stacked generalization [PDF]

open access: yesIntelligent Data Analysis, 2010
Stacking is a widely used technique for combining classifiers and improving prediction accuracy. Early research in Stacking showed that selecting the right classifiers, their parameters and the meta-classifiers was a critical issue. Most of the research on this topic hand picks the right combination of classifiers and their parameters.
Ledezma Espino, Agapito Ismael   +3 more
openaire   +2 more sources

Power Optimization for Wind Turbines Based on Stacking Model and Pitch Angle Adjustment

open access: yesEnergies, 2020
As we know, power optimization for wind turbines has great significance in the area of wind power generation, which means to make use of wind resources more efficiently.
Zhikun Luo   +4 more
doaj   +1 more source

An Empirical Evaluation of Stacked Ensembles With Different Meta-Learners in Imbalanced Classification

open access: yesIEEE Access, 2021
The selection of a meta-learner determines the success of a stacked ensemble as the meta-learner is responsible for the final predictions of the stacked ensemble.
Seng Zian   +2 more
doaj   +1 more source

Implications of a 20-Hz Booster cycle-rate for Slip-stacking [PDF]

open access: yes, 2014
We examine the potential impacts to slip-stacking from a change of the Booster cycle-rate from 15- to 20-Hz. We find that changing the Booster cycle-rate to 20-Hz would greatly increase the slip-stacking bucket area, while potentially requiring greater ...
Eldred, Jeffrey, Zwaska, Robert
core   +1 more source

An Empirical Analysis of Machine Learning Algorithms for Crime Prediction Using Stacked Generalization: An Ensemble Approach

open access: yesIEEE Access, 2021
Ensemble learning method is a collaborative decision-making mechanism that implements to aggregate the predictions of learned classifiers in order to produce new instances. Early analysis has shown that the ensemble classifiers are more reliable than any
Sapna Singh Kshatri   +5 more
doaj   +1 more source

Stacking the Equiangular Spiral [PDF]

open access: yes, 2013
We present an algorithm that adapts the mature Stack and Draw (SaD) methodology for fabricating the exotic Equiangular Spiral Photonic Crystal Fiber.
Agrawal, A., Azabi, Y. O., Rahman, B. M.
core   +2 more sources

Stacked Regressions [PDF]

open access: yesMachine Learning, 1996
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +3 more sources

A Novel Current-Source-Based Gate Driver With Active Voltage Balancing Control for Series-Connected GaN HEMTs

open access: yesIEEE Open Journal of Power Electronics, 2021
The voltage rating of the commercial Gallium Nitride (GaN) power devices are limited to 600/650 V due to the lateral structure. Stacking the low-voltage rating devices is a straightforward approach to block higher dc link voltage. However, the unbalanced
Zhengda Zhang   +5 more
doaj   +1 more source

Bending modes, elastic constants and mechanical stability of graphitic systems [PDF]

open access: yes, 2010
The thermodynamic and mechanical properties of graphitic systems are strongly dependent on the shear elastic constant C44. Using state-of-the-art density functional calculations, we provide the first complete determination of their elastic constants and ...
A. Fasolino   +50 more
core   +2 more sources

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