Interpretation of mean-field bias correction of radar rain rate using the concept of linear regression. Hydrological Processes, Wiley Online Library, v. 28, n. 19, p. 5081-5092, 2014.YOO, C. et al. Interpretatio
We report on the proof-of-concept of a low-mass, low-power method for collecting micron-sized sulfuric acid aerosols in bulk from the atmosphere of Venus. The collection method uses four wired meshes in a sandwich structure with a deposition area of 225
space of the human ratings, we could locate and manipulate the artificial neurons in the LLM relevant to a conceptual attribute (e.g., valence) of emotions to investigate their causal contributions for emotion inference tasks. We further explored the association between the language-based contributio...
The performance of the linear classifier is indicative of how well the concept is learned in the network representation. Regression Concept Vectors (RCVs) [15] extended CAVs to model not only the presence or absence of a concept, but also continuous-valued measures. These are important in the...
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Scenarios where the target clas- sification or regression scheme itself changes with time are referred to as real drift processes. Frequently, both effects coincide and a clear distinction of the two cases becomes difficult. The presence of drift requires some form of forgetting of dated ...
The "history" of smoothness priors essentially starts with a problem addressed in Whittaker (1923). It was followed by Shiller (1973), and Akaike (1980a) in which the framework initiated by Shiller was continued Akaike (1980a) was a quasi-Bayesian Gaussian disturbances linear regression, least...
A surprisingly similar linear relationship is found in Japan''s metal reserves, showing the correlation of R = A 108 109. The elements whose reserve amounts lie closest to the regression line R = A 109 are generally chalcophile or sulphofile having a higher enrichment factor. Because of ...
where Ccumis the cost per unit as a function of output, C0is the cost of the first unit produced, CUM is the cumulative production over time, and b is the experience index. The experience index is used to calculate the relative cost reduction, (1–2b), for each doubling of the cumulat...
In addition, a non-linear regression analysis is also conducted to help understand the usefulness of more annotated data (if consistently labeled with the i2b2 training data) and the effectiveness of our current use of the provided unlabeled data. 7.1. Performance Our best system that applies the...