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Weighted Pseudoinverses with Singular Weights
SIAM Journal on Applied Mathematics, 1971Summary: This paper develops a singular weighted pseudoinverse which generalizes the product generalized inverse of a matrix. A condition to insure uniqueness of this pseudoinverse and a computational formula are obtained.
Ward, J. F. +2 more
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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
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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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Cohen’s weighted kappa with additive weights
Advances in Data Analysis and Classification, 2013zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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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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Mindfulness Approaches and Weight Loss, Weight Maintenance, and Weight Regain
Current Obesity Reports, 2018There is an urgent need for effective weight management techniques, as more than one third of US adults are overweight or obese. Recommendations for weight loss include a combination of reducing caloric intake, increasing physical activity, and behavior modification. Behavior modification includes mindful eating or eating with awareness. The purpose of
Carolyn, Dunn +6 more
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