Results 31 to 40 of about 12,339 (203)
Unbiased Isotonic Regression Tree for Discovering Hidden Heterogeneity in Monotonicity Constraints
Applied SciencesIntegrating domain knowledge is increasingly recognized as vital for improving the relevance and reliability of machine learning models. This integration is often implemented through specific types of constraints that reflect real-world conditions or ...
Doowon Choi
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CVXR: An R Package for Disciplined Convex Optimization
Journal of Statistical Software, 2020 CVXR is an R package that provides an object-oriented modeling language for convex optimization, similar to CVX, CVXPY, YALMIP, and Convex.jl. It allows the user to formulate convex optimization problems in a natural mathematical syntax rather than the ...
Anqi Fu +2 more
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Isotonic regression analysis of Guzerá cattle growth curves
Revista CeresThe objective of this study was to apply data transformation via isotonic regression in growth curves studies of Guzerá cattle whose data presented disturbances characterized by decreased body weight in certain age groups.
Adriano Rodrigues +5 more
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Multiple Isotonic Median Regression
The Annals of Statistics, 1973 We consider the partial order on the unit square; $s_1 = (x_1, y_1) \ll s_2 = (x_2, y_2)$ if and only if $x_i \leqq y_i$ for $i = 1, 2$, and say that a real-valued function $f$ is isotone if $s_1 \ll s_2$ implies that $f(s_1) \leqq f(s_2)$. Suppose that for each point, $s$, in the unit square we have a distribution with median $m(s)$ and $m(s)$ is ...
Robertson, Tim, Wright, F. T.
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Isotonic and Convex Regression: A Review of Theory, Algorithms, and Applications
MathematicsShape-restricted regression provides a flexible framework for estimating an unknown relationship between input variables and a response when little is known about the functional form, but qualitative structural information is available. In many practical
Eunji Lim
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Drug Design, Development and Therapy, 2022 Bingwei Hu,1,2 Liang Li,2 Hongwei Wang,2 Tingting Ma,2 Zhimei Fu,2 Xianhui Kang,3 Zhiying Feng1 1Department of Pain, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, People’s Republic of China; 2Department of ...
Hu B +6 more
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CoRRIsotonic regression (IR) is shape-constrained regression to maintain a univariate fitting curve non-decreasing, which has numerous applications including single-index models and probability calibration. When it comes to multi-output regression, the classical IR is no longer applicable because the monotonicity is not readily extendable.
Han Bao, Amirreza Eshraghi, Yutong Wang
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Mitigating Algorithmic Bias Through Probability Calibration: A Case Study on Lead Generation Data
MathematicsProbability calibration is commonly utilized to enhance the reliability and interpretability of probabilistic classifiers, yet its potential for reducing algorithmic bias remains under-explored.
Miroslav Nikolić +4 more
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Regression with Ordered Predictors via Ordinal Smoothing Splines
Frontiers in Applied Mathematics and Statistics, 2017 Many applied studies collect one or more ordered categorical predictors, which do not fit neatly within classic regression frameworks. In most cases, ordinal predictors are treated as either nominal (unordered) variables or metric (continuous) variables ...
Nathaniel E. Helwig, Nathaniel E. Helwig
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The EC of remifentanil to minimize the cardiovascular changes during head holder pinning in neurosurgery [PDF]
Korean Journal of Anesthesiology, 2012 BackgroundDuring neuroanesthesia, head holder pinning commonly results in sympathetic stimulation manifested by hemodynamic changes, such as increased heart rate and arterial blood pressure.
Wang Seok Do +3 more
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