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BN parameter learning based on improved QMAP algorithm under small data set conditions
Xi'an Gongcheng Daxue xuebao, 2023 Under the condition of Bayesian network (BN) small data set, the qualitative maximum a posteriori (QMAP) estimation tends to violate expert constraints, which causes the QMAP estimation to deviate the true value.
CHEN Haiyang +3 more
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Water Science and Technology, 2023 Crop evapotranspiration is essential for planning and designing an efficient irrigation system. The present investigation assessed the capability of four machine learning algorithms, namely, XGBoost linear regression (XGBoost Linear), XGBoost Ensemble ...
Jitendra Rajput +6 more
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A dual active set algorithm for optimal sparse convex regression
Vestnik Samarskogo Gosudarstvennogo Tehničeskogo Universiteta. Seriâ: Fiziko-Matematičeskie Nauki, 2019 The shape-constrained problems in statistics have attracted much attention in recent decades. One of them is the task of finding the best fitting monotone regression. The problem of constructing monotone regression (also called isotonic regression) is to
Aleksandr A. Gudkov +3 more
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Isotonic Regression via Partitioning [PDF]
Algorithmica, 2012 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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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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Bayesian Isotonic Regression and Trend Analysis [PDF]
Biometrics, 2004 Summary. In many applications, the mean of a response variable can be assumed to be a nondecreasing function of a continuous predictor, controlling for covariates. In such cases, interest often focuses on estimating the regression function, while also assessing evidence of an association.
Neelon, Brian, Dunson, David B.
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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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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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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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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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