Results 41 to 50 of about 50,039 (279)

Controller design for synchronization of an array of delayed neural networks using a controllable [PDF]

, 2011
This is the post-print version of the Article - Copyright @ 2011 ElsevierIn this paper, a controllable probabilistic particle swarm optimization (CPPSO) algorithm is introduced based on Bernoulli stochastic variables and a competitive penalized method ...
Cao, Chen, Chen, Clerc, Gao, Gray, Jian-an Fang, Krohling, Liang, Liang, Liang, Lu, Lu, Lü, Mendes, Pecora, Ratnaweera, Salomon, Shi, Shi, Tang, Tang, Tang, Tang, Ukhtomsky, van den Bergh, Wang, Wang, Wang, Wang, Wolpert, Wu, Yang Tang, Yao, Yu, Zhan, Zidong Wang   +36 more
core   +1 more source

3D–2D dimensional reduction for a nonlinear optimal design problem with perimeter penalization [PDF]

Comptes Rendus. Mathématique, 2012
A 3D–2D dimension reduction for a nonlinear optimal design problem with a perimeter penalization is performed in the realm of Γ-convergence, providing an integral representation for the limit functional.
Graça Carita, ZAPPALE, ELVIRA
openaire   +2 more sources

Queue-Aware Energy-Efficient Joint Remote Radio Head Activation and Beamforming in Cloud Radio Access Networks

, 2016
In this paper, we study the stochastic optimization of cloud radio access networks (C-RANs) by joint remote radio head (RRH) activation and beamforming in the downlink.
Li, Jian, Peng, Mugen, Wu, Jingxian, Zhang, Ping   +3 more
core   +1 more source

Computation of Optimal Transport and Related Hedging Problems via Penalization and Neural Networks [PDF]

Applied Mathematics & Optimization, 2019
This paper presents a widely applicable approach to solving (multi-marginal, martingale) optimal transport and related problems via neural networks. The core idea is to penalize the optimization problem in its dual formulation and reduce it to a finite dimensional one which corresponds to optimizing a neural network with smooth objective function.
Eckstein, Stephan, Kupper, Michael
openaire   +2 more sources

Variable selection in quantile regression [PDF]

, 2009
: After its inception in Koenker and Bassett (1978), quantile regression has become an important and widely used technique to study the whole conditional distribution of a response variable and grown into an important tool of applied statistics over the ...
Yichao Wu, Yufeng Liu
core   +2 more sources

Computation efficiency optimization in UAV-enabled mobile edge computing system with multi-carrier non-orthogonal multiple access

EURASIP Journal on Wireless Communications and Networking, 2020
In this paper, we study the issue of fair resource optimization for an unmanned aerial vehicle (UAV)-enabled mobile edge computing (MEC) system with multi-carrier non-orthogonal multiple access (MC-NOMA).
Fangcheng Xu, Xiangbin Yu, Jiali Cai, Guangying Wang   +3 more
doaj   +1 more source

Constrained DRL for Energy Efficiency Optimization in RSMA-Based Integrated Satellite Terrestrial Network

Sensors, 2023
To accommodate the requirements of extensive coverage and ubiquitous connectivity in 6G communications, satellite plays a more significant role in it. As users and devices explosively grow, new multiple access technologies are called for.
Qingmiao Zhang, Lidong Zhu, Yanyan Chen, Shan Jiang   +3 more
doaj   +1 more source

Regularized Partial Least Squares with an Application to NMR Spectroscopy [PDF]

, 2012
High-dimensional data common in genomics, proteomics, and chemometrics often contains complicated correlation structures. Recently, partial least squares (PLS) and Sparse PLS methods have gained attention in these areas as dimension reduction techniques ...
Allen, Genevera I., Maletic-Savatic, Mirjana, Peterson, Christine, Vannucci, Marina   +3 more
core   +2 more sources

A Penalized Empirical Likelihood Approach for Estimating Population Sizes under the Negative Binomial Regression Model

Mathematics
In capture–recapture experiments, the presence of overdispersion and heterogeneity necessitates the use of the negative binomial regression model for inferring population sizes.
Yulu Ji, Yang Liu
doaj   +1 more source

An Adaptive Ridge Procedure for L0 Regularization. [PDF]

PLoS ONE, 2016
Penalized selection criteria like AIC or BIC are among the most popular methods for variable selection. Their theoretical properties have been studied intensively and are well understood, but making use of them in case of high-dimensional data is ...
Florian Frommlet, Grégory Nuel
doaj   +1 more source