Results 261 to 270 of about 10,866,611 (334)

Parametric optimization for multi-layered filament-wound cylinder based on hybrid method of GA-PSO coupled with local sensitivity analysis

Composite structures, 2021
Filament-wound cylinder always demonstrates diverse performances due to the different designed parameters. This paper aims to provide a hybrid method for optimizing the winding angle and fiber volume content of a composite cylinder under internal ...
Chao Kang, Zan Liu, B. Shirinzadeh, Honggen Zhou, Yaoyao Shi, Tao Yu, Pan Zhao   +6 more
semanticscholar   +1 more source

LiSSA: Localized Stochastic Sensitive Autoencoders

IEEE Transactions on Cybernetics, 2021
The training of autoencoder (AE) focuses on the selection of connection weights via a minimization of both the training error and a regularized term. However, the ultimate goal of AE training is to autoencode future unseen samples correctly (i.e., good generalization).
Ting Wang, Wing W. Y. Ng, Marcello Pelillo, Sam Kwong   +3 more
openaire   +3 more sources

Local dampening: differential privacy for non-numeric queries via local sensitivity

The VLDB journal, 2020
Differential privacy is the state-of-the-art formal definition for data release under strong privacy guarantees. A variety of mechanisms have been proposed in the literature for releasing the output of numeric queries (e.g., the Laplace mechanism and ...
Victor A. E. Farias, Felipe T. Brito, Cheryl J. Flynn, Javam C. Machado, S. Majumdar, D. Srivastava   +5 more
semanticscholar   +1 more source

Kernelized Locality-Sensitive Hashing

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2012
Fast retrieval methods are critical for many large-scale and data-driven vision applications. Recent work has explored ways to embed high-dimensional features or complex distance functions into a low-dimensional Hamming space where items can be efficiently searched.
Brian, Kulis, Kristen, Grauman
openaire   +2 more sources

Ensemble sensitivity localization

2023
Ensemble sensitivity is a tool to quantitatively determine which initial conditions influence a forecast quantity of choice. This information can then be used to understand the sources and dynamics of forecast uncertainty, quantify the impact of observations (e.g., E-FSOI), and determine where to best deploy observations to improve the forecast (e.g ...
Philipp Johannes Griewank, Tobias Necker, Martin Weissmann   +2 more
openaire   +1 more source

A Prospective Analysis of Systemic and Local Aeroallergen Sensitivity in Central Compartment Atopic Disease

Otolaryngology Head & Neck Surgery, 2022
Objective To compare systemic allergen sensitivity and local allergen sensitivity in the sinonasal tissue of patients with a recently identified subtype of chronic rhinosinusitis strongly associated with allergy: central compartment atopic disease (CCAD).
Thomas S. Edwards, J. DelGaudio, J. Levy, S. Wise   +3 more
semanticscholar   +1 more source

Global and local sensitivity analysis to improve the understanding of physically-based urban wash-off models from high-resolution laboratory experiments.

Science of the Total Environment, 2019
Physically-based urban wash-off models are a promising means of studying the transport of finer suspended solids and their associated pollutants during rain events, considering spatial and temporal heterogeneities.
J. Naves, J. Rieckermann, L. Cea, J. Puertas, José Anta   +4 more
semanticscholar   +1 more source

Local Sensitivity Analysis

1996
Abstract We review several methods for assessing the effect of small changes to the prior distribution. Our emphasis is on a variety of derivative-like quantities. Some of these have deficiencies that make them unsuitable as diagnostics. We explore the reasons for this and we look at some attempts to avoid these problems.
P Gustafson*, C Srinivasan**, L Wasserman*   +2 more
openaire   +1 more source