Results 31 to 40 of about 893,007 (263)
IEEE Access, 2020 The power consumption at the receiver side will be dramatically increased in the millimetre-wave and massive multiple-input-multiple-output (MIMO) communication systems due to the wide bandwidth and a large number of antennas adopted.
Yi Gong +3 more
doaj +1 more source
An Integral-Equation-Based Variance Reduction Method for Accelerated Monte Carlo Simulations
Photonics, 2023 In this work, we introduce a novel variance reduction approach utilising the integral formulation of the radiative transfer equation to calculate the radiance in a planar symmetric slab geometry.
David Hevisov +3 more
doaj +1 more source
Robust Support Vector Machine Based on Momentum Acceleration Zero-Order Variance Reduction [PDF]
Jisuanji gongcheng, 2020 In the actual classification problem,there is often a certain amount of noise in the data caused by the influence of artificial or other factors,so it is very important to improve the anti-noise ability of the classifier.However,the hinge loss function ...
LU Shuxia, CAI Lianxiang, ZHANG Luohuan
doaj +1 more source
A decomposition approach to variance reduction [PDF]
Proceedings of the 17th conference on Winter simulation - WSC '85, 1985 For analyzing stochastic models, simulation trades the tractability problems of analytical techniques for the problem of sampling variability. Variance reduction techniques (VRTs) attack this problem by transforming the simulation experiment in a way that makes it more statistically efficient.
openaire +1 more source
Demographic Stochasticity and the Variance Reduction Effect [PDF]
Ecology, 2002 Demographic stochasticity is almost universally modeled as sampling var- iance in a homogeneous population, although it is defined as arising from random variation among individuals. This can lead to serious misestimation of the extinction risk in small populations.
Fox, Gordon A, Kendall, Bruce E.
openaire +3 more sources
He jishuBackgroundBoron neutron capture therapy (BNCT) is a new type of binary targeted radiotherapy that is gradually entering the commercial stage. The accelerator-based boron neutron capture therapy (AB-BNCT) neutron sources used in hospitals are inevitably ...
ZHU Yinan +3 more
doaj +1 more source
Stochastic Momentum Method With Double Acceleration for Regularized Empirical Risk Minimization
IEEE Access, 2019 Momentum acceleration technique is famously known for building gradient-based algorithms with fast convergence in large-scale optimization. Recently, Nesterov 's momentum and Katyusha momentum have significantly improved the convergence for stochastic ...
Zhijian Luo, Siyu Chen, Yuntao Qian
doaj +1 more source
Variance-Reduction Methods for Monte Carlo Simulation of Radiation Transport
Frontiers in Physics, 2021 After a brief description of the essentials of Monte Carlo simulation methods and the definition of simulation efficiency, the rationale for variance-reduction techniques is presented.
Salvador García-Pareja +2 more
doaj +1 more source
Variance Reduction in Simulations of Loss Models [PDF]
Operations Research, 1999 We propose a new estimator of steady-state blocking probabilities for simulations of stochastic loss models that can be much more efficient than the natural estimator (ratio of losses to arrivals). The proposed estimator is a convex combination of the natural estimator and an indirect estimator based on the average number of customers in service ...
Rayadurgam Srikant, Ward Whitt
openaire +2 more sources
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Central nervous system (CNS) neuroblastoma, FOXR2‐activated, is a recently recognized entity in the WHO CNS5 classification, defined by activation of the FOXR2 transcription factor and unique histopathological features. This review synthesizes available literature and pooled clinical data, providing insight into demographics ...
Sudarshawn Damodharan +1 more
wiley +1 more source