Search results for "Robustne"
showing 10 items of 515 documents
Robust Neural Machine Translation: Modeling Orthographic and Interpunctual Variation
2020
Neural machine translation systems typically are trained on curated corpora and break when faced with non-standard orthography or punctuation. Resilience to spelling mistakes and typos, however, is crucial as machine translation systems are used to translate texts of informal origins, such as chat conversations, social media posts and web pages. We propose a simple generative noise model to generate adversarial examples of ten different types. We use these to augment machine translation systems’ training data and show that, when tested on noisy data, systems trained using adversarial examples perform almost as well as when translating clean data, while baseline systems’ performance drops by…
Macroeconomic performance and convergence in OECD countries
1996
Abstract This paper investigates the robustness of the correlation between growth and a set of variables which comprises accumulation rates in human and physical capital and medium term macroeconomic indicators in OECD countries. We include these variables as additional regressors in the standard growth equation that comes from the human capital-augmented Solow model. Our results show that variables related to medium term macroeconomic performance affect both growth and convergence. In some periods these variables even outperform the explanatory power of the conventional growth variables such as the accumulation rates. Our results also suggest that it is difficult to analyse the contributio…
On distributing quarterly national growth among regions
2008
In many countries a very important fraction of public expenditure is managed by regional authorities. However, in a world where economic life has quickened and become more turbulent, subnational institutions rarely have a timely regional macroeconomic picture at their disposal. The authors propose a guide to a method for estimating quarterly accounts of regions from the national quarterly and annual regional accounts, by the use of a temporal structure which eliminates possible spurious jumps. The robustness of the process and suggested practicalities are tested, and the proposal is also shown to produce better estimates than other uniregional methods often used in this framework.
Maximin Model Robust Discrete Choice Experiments
2013
Discrete choice experiments have their genesis in conjoint analysis, which was based on first-order models. For this and other reasons, discrete choice experiments in practice are usually designed for estimation of main effects. In this paper, we explore the construction of maximin model robust designs when the experimenter is concerned about the presence of interactions. We consider three classes of models—main effects models, main effects models plus first-order interactions, and secondorder models, and we construct designs that maximize the minimum efficiency of the design for the three competing models. We do so first with standard linear models and then extend our analysis to nonlinear…
An adapted optical flow algorithm for robust quantification of cardiac wall motion from standard cine-MR examinations
2012
International audience; This paper presents a method for local myocardial motion estimation from a conventional steady-state free precession cine-MRI sequence using a modified phase-based optical flow (OF) technique. Initially, the technique was tested on synthetic images to evaluate its robustness with regards to Rician noise and to brightness variations. The method was then applied to cardiac images acquired on 11 healthy subjects. Myocardial velocity is measured in centimeter per second in each studied pixel and visualized as colored vectors superimposed on MRI images. The estimated phase-based OF results were compared with a reference OF method and gave similar results on synthetic imag…
Liver methylene fraction by dual- and triple-echo gradient-echo imaging at 3.0T: Correlation with proton MR spectroscopy and estimation of robustness…
2011
Purpose To assess the systematic errors in liver methylene fraction (LMF) resulting from fat–fat interference effects with dual- and triple-echo gradient-recalled-echo Dual/Triple GRE) sequences and to test the robustness of these sequences after iron overloading. Materials and Methods Forty type-2 diabetic patients underwent LMF measurement by 3.0T 1H magnetic resonance spectroscopy (corrected for T1 and T2 decays) as the reference standard and liver fat fraction (%Fat) measurement by four Dual/Triple GRE sequences with 20° and 60° flip angle (α), corrected for T1 recovery. The same four sequences were repeated in eight patients after ferumoxide injection. Corrections for systematic errors…
Evaluation of prostate segmentation algorithms for MRI: The PROMISE12 challenge
2014
Contains fulltext : 137969.pdf (Publisher’s version ) (Open Access) Prostate MRI image segmentation has been an area of intense research due to the increased use of MRI as a modality for the clinical workup of prostate cancer. Segmentation is useful for various tasks, e.g. to accurately localize prostate boundaries for radiotherapy or to initialize multi-modal registration algorithms. In the past, it has been difficult for research groups to evaluate prostate segmentation algorithms on multi-center, multi-vendor and multi-protocol data. Especially because we are dealing with MR images, image appearance, resolution and the presence of artifacts are affected by differences in scanners and/or …
Entrepreneurial orientation, concern for socioemotional wealth preservation, and family firm performance
2021
Abstract This paper explores whether concern for socioemotional wealth enhances or undermines the positive effect of entrepreneurial orientation on family firm performance. Two analysis techniques were used: second-generation structural equation modeling (PLS-SEM) and fuzzy-set qualitative comparative analysis (fsQCA). These techniques were applied to data on 106 Spanish family firms. Results of both analyses are similar, lending validity and robustness to the proposed research model. Specifically, the results indicate that 1) entrepreneurial orientation positively influences family firm performance, 2) concern for socioemotional wealth preservation positively influences both entrepreneuria…
The Robustness of National Agency Governance in Integrated Administrative Systems: Evidence from a large-scale study
2020
This article examines government agencies facing choice architectures that are multiple, overlapping, ambiguous, and sometimes incompatible—in short: turbulent. It makes two contributions: First, two conceptual images of agency governance are outlined that derive distinct predictions on how agencies are likely to maneuver when embedded in integrated multilevel administrative orders. Secondly, benefitting from a large‐N dataset on agency officials (N = 1,963) from 47 government agencies, the study suggests that government agencies are primarily biased towards a pragmatist compound dynamic. Additionally, the analysis probes the robustness of these conceptual images by entering moderator varia…
The influence of geographical concentration and structural characteristics on the survival chance of textile firms
2013
[EN] Purpose The purpose of this paper is to evaluate the contribution of location (geographical concentration) and firm structure (age and subsector) to the risk of business failure. Design/methodology/approach The Markov s regression analysis was made for a sample of over 11,700 Spanish textile-clothing firms. Findings The results obtained from the analysis suggest that the risk of business failure is increased by some risk factors relative to the structural characteristics of the firms (younger firms and specialization in low-tech activities), and under determined locational circumstances. Research limitations/implications Our conclusions have been obtained starting from a sample of manu…