Results 31 to 40 of about 2,956 (213)
Ellipsoid Method for Linear Regression Parameters Determination
Кібернетика та комп'ютерні технології, 2020 Introduction. Linear regression parameters determination can be formulated as a non-smooth function minimization problem, which is Lp-norm of residual of the linear equations system.
V. Stovba
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A Concave-penalized Logistic Regression Model for Predicting ICI Treatment Respense [PDF]
Zhengzhou Daxue xuebao. Gongxue banTo improve the accuracy of predicting the response of melanoma patients to immune checkpoint inhibitor (ICI) therapy, a new method integrating bulk RNA-seq and single-cell RNA-seq data was proposed.
MU Xiaoxia +3 more
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Energies, 2023 The authors propose an instrumental apparatus for calculating the ratings of Russian companies in the oil and gas and electric power industries based on a weighting method, risk assessment using the minimax criterion and an intellectual tree structure ...
Alex Borodin +3 more
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Сахарный диабет, 2021 BACKGROUND: Diabetic autonomic neuropathy is the reason for early morbidity and mortality on diabetic patients. The pathology not only cardiac innervation but microvascular is presented.AIMS: We estimated the parameters of skin microvascular blood flow ...
T. A. Zelenina +4 more
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Singularities in minimax optimization of networks [PDF]
, 1975 A theoretical treatment of singularities in nonlinear minimax optimization problems, which allows for a classification in regular and singular problems, is presented.
Madsen, K. +2 more
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EURASIP Journal on Advances in Signal Processing, 2010 A double-loop iterative method is proposed to design allpass variable fractional-delay (VFD) digital filters basing on the minimization of root-mean-squared group-delay error. In the inner loop, an iterative quadratic optimization is proposed to replace
Cheng-Han Chan +2 more
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The Study of Extreme Conditions for Destructive Processes Using the SIR Model
Современные информационные технологии и IT-образование, 2020 The article focuses on a study resulted in a mathematical tool to predict the most unfavorable scenario that describes how destructive processes are being developed under given initial conditions.
Olga Korchazhkina
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lslx: Semi-Confirmatory Structural Equation Modeling via Penalized Likelihood
Journal of Statistical Software, 2020 Sparse estimation via penalized likelihood (PL) is now a popular approach to learn the associations among a large set of variables. This paper describes an R package called lslx that implements PL methods for semi-confirmatory structural equation ...
Po-Hsien Huang
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AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective
Advanced Intelligent Discovery, EarlyView.The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
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BMJ Open, 2021 Introduction Limited clinical studies have been conducted on rare solid tumours, and there are few guidelines on the diagnosis and treatment, including experiences with targeted therapy and immunotherapy, of rare solid tumours in China, resulting in ...
Hui Wang +22 more
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