Results 261 to 270 of about 451,044 (311)
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When to use what: Methods for weighting and aggregating sustainability indicators
Ecological Indicators, 2017Xiaoyu Gan +2 more
exaly +2 more sources
Information Fusion, 2020
This paper focuses on how to effectively construct dynamic financial distress prediction models based on class-imbalanced data streams. Two class-imbalanced dynamic financial distress prediction approaches are proposed based on the synthetic minority ...
Jie Sun +4 more
semanticscholar +1 more source
This paper focuses on how to effectively construct dynamic financial distress prediction models based on class-imbalanced data streams. Two class-imbalanced dynamic financial distress prediction approaches are proposed based on the synthetic minority ...
Jie Sun +4 more
semanticscholar +1 more source
Internalized Weight Bias, Weight‐Related Experiences, And Peripartum Weight
Journal of Midwifery & Women's Health, 2023IntroductionThe purpose of this study was to investigate internalized weight bias (IWB) and its relationship with pregnancy‐related weight changes and postpartum depression. IWB is defined as the internalization of negative attitudes and beliefs about people due to their weight.
Meghan Sharp +5 more
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Weighted Pseudoinversion with Singular Weights
Cybernetics and Systems Analysis, 2016zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Sergienko, I. V., Galba, E. F.
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Beta Weights, Unit Weights, and other Weights
Perceptual and Motor Skills, 1987A simple example of the use of different weights with just two predictors was presented. The replacement of the beta weights by unit weights resulted in a very slight loss of predictive validity, and even the arbitrary reversal of the beta weights resulted in a smaller loss than might have been expected. A relationship demonstrated by Green was used to
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Weight to Place on Birth Weight
JAMA: The Journal of the American Medical Association, 1983ABSTRACT Most of our knowledge about the correlates of birth weight and perinatal morbidity derives from studies done more than a decade ago. Thus, the effort by Hackman et al to identify previously unrecognized predictors of birth weight and unfavorable pregnancy outcome, reported in this issue of The Journal (p 2016), deserves attention.
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IEEE Transactions on Pattern Analysis and Machine Intelligence, 2006
Recent papers and patents in iterative unsupervised learning have emphasized a new trend in clustering. It basically consists of penalizing solutions via weights on the instance points, somehow making clustering move toward the hardest points to cluster.
Richard Nock, Frank Nielsen
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Recent papers and patents in iterative unsupervised learning have emphasized a new trend in clustering. It basically consists of penalizing solutions via weights on the instance points, somehow making clustering move toward the hardest points to cluster.
Richard Nock, Frank Nielsen
openaire +2 more sources
Cross-Modal Weighting Network for RGB-D Salient Object Detection
European Conference on Computer Vision, 2020Depth maps contain geometric clues for assisting Salient Object Detection (SOD). In this paper, we propose a novel Cross-Modal Weighting (CMW) strategy to encourage comprehensive interactions between RGB and depth channels for RGB-D SOD.
Gongyang Li +4 more
semanticscholar +1 more source
Drude weight and superconducting weight
Journal of Physics: Condensed Matter, 2018Abstract The Drude weight D (also called charge stiffness) measures the effective electron density contributing to dc conductivity; it vanishes in insulators. It is a general concept, which applies to any metal, including cases with disorder and electron–electron interaction.
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Robustness Weight by Weighted Median Distance
Computational Statistics, 2004The author deals with the problem of estimating a regression function by nonparametric (weighted) regression methods from a set of data contaminated by errors with heavy-tailed distributions. He proposes a new method for defining robustness weights based on the weighted median distance (WMD) of the response variables and compares its performance with ...
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