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Understanding the Linear Regression Cost Function | Simple Machine Learning Guide
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Background Cancer survivors have an increased risk of heart failure, but this is balanced by the risk of death from other ...
The group lasso estimator for logistic regression is shown to be statistically consistent even if the number of predictors is much larger than sample size but with sparse true underlying structure. We ...
It is suggested that a useful, although sub-optimal, manner of taking into account generalized cost functions is to add a constant bias term to the predictor. Two theorems are proved showing that ...
Objective Functional complete revascularisation (FCR) has been proven to be associated with superior prognosis following percutaneous coronary intervention. Whether guideline-directed medical therapy ...
This is a valuable computational study of odor responses in the early olfactory system of insects and vertebrates. The study addresses the question of how information about odor concentration is ...
Objectives To examine the relationship between uncertainty stress and oral health-related quality of life (OHRQoL) among junior high school students in Zhejiang Province, China, and to identify the ...
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