Results 11 to 20 of about 114,148 (217)
Frontiers in Neurology, 2022 We have demonstrated that machine learning allows us to predict cognitive function in aged people using near-infrared spectroscopy (NIRS) data or basic blood test data. However, the following points are not yet clear: first, whether there are differences
Katsunori Oyama, Kaoru Sakatani
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Dataset size considerations for robust acoustic and phonetic speech encoding models in EEG
Frontiers in Human Neuroscience, 2023 In many experiments that investigate auditory and speech processing in the brain using electroencephalography (EEG), the experimental paradigm is often lengthy and tedious. Typically, the experimenter errs on the side of including more data, more trials,
Maansi Desai +3 more
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Crop phenotype prediction using biclustering to explain genotype-by-environment interactions
Frontiers in Plant Science, 2022 Phenotypic variation in plants is attributed to genotype (G), environment (E), and genotype-by-environment interaction (GEI). Although the main effects of G and E are typically larger and easier to model, the GEI interaction effects are important and a ...
Hieu Pham +5 more
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How to Address Non-normality: A Taxonomy of Approaches, Reviewed, and Illustrated
Frontiers in Psychology, 2018 The linear model often serves as a starting point for applying statistics in psychology. Often, formal training beyond the linear model is limited, creating a potential pedagogical gap because of the pervasiveness of data non-normality.
Jolynn Pek +3 more
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Frontiers in Neurology, 2018 Functional electrical stimulation (FES) is important in gait rehabilitation for patients with dropfoot. Since there are time-varying velocities during FES-assisted walking, it is difficult to achieve a good movement performance during walking. To account
Guangtao Chen +4 more
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Linear Estimation for Approximately Linear Models
The Annals of Statistics, 1978 An approximate linear model is proposed to allow for deviations from an underlying ideal linear model as follows: If, in standard notation, $Y = A\beta + \varepsilon$ is the ideal model then $Y = A\beta + r + \varepsilon$ where $|r_i| \leqq M_i$ for $M$ a given vector is an approximate linear model.
Sacks, Jerome, Ylvisaker, Donald
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Animal, 2011 The objective of this study was to compare linear models and survival analysis for genetic evaluation of ovulatory disorders, which included veterinary treatments of silent heat/anestrus and cystic ovaries.
A. Koeck +4 more
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Estimating Outliers Using the Iterative Method in Partial Least Squares Regression Analysis for Linear Models. [PDF]
المجلة العراقية للعلوم الاحصائيةOutliers affect the accuracy of the estimated parameters of the partial least squares regression model and give unacceptably large residual values. Traditional robust methods (used in ordinary least squares) cannot be used to treat outliers in estimating
Mahammad Bazid, taha ali
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Hybrid Neural Network and Linear Model for Natural Produce Recognition Using Computer Vision
Journal of ICT Research and Applications, 2017 Natural produce recognition is a classification problem with various applications in the food industry. This paper proposes a natural produce recognition method using computer vision.
Joko Siswantoro +3 more
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Effect of age at first calving on longevity and fertility traits for Holstein cattle
Czech Journal of Animal Science, 2013 Effects of age at first calving (AFC) on functional longevity of Czech Holstein cows and their reproduction traits in the first lactation were analyzed using the first lactation data of 605 538 Holstein cows first calved from 1993 to 2008.
L. Zavadilová, M. Štípková
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