نتائج البحث

A hybrid approach for forecasting peak expiratory flow rate in asthma patients using combined linear regression and random forest model.

• Authors : Alkobaisi S; College of Information Technology, United Arab Emirates University, Al Ain, United Arab Emirates.; Bae WD

Subjects: Peak Expiratory Flow Rate*/Peak Expiratory Flow Rate*/Peak Expiratory Flow Rate*/physiology ; Asthma*/Asthma*/Asthma*/diagnosis ; Asthma*/Asthma*/Asthma*/physiopathology

• Source: PloS one [PLoS One] 2025 Aug 21; Vol. 20 (8), pp. e0326036. Date of Electronic Publication: 2025 Aug 21 (Print Publication: 2025).Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet

تفاصيل العنوان

Refined Differentially Private Linear Regression via Extension of a Free Lunch Result

• Authors : S, Sasmita Harini; Tandon, Anshoo

Subjects: Information Theory; Machine Learning

تفاصيل العنوان

Mathematical Foundations of Poisoning Attacks on Linear Regression over Cumulative Distribution Functions

• Authors : Sato, Atsuki; Aumüller, Martin; Matsui, Yusuke

Subjects: Machine Learning; Databases

تفاصيل العنوان

Linear Regression with Unknown Truncation Beyond Gaussian Features

• Authors : Kouridakis, Alexandros; Mehrotra, Anay; Kalavasis, Alkis

Subjects: Machine Learning; Data Structures and Algorithms; Statistics Theory

تفاصيل العنوان

Expectation Error Bounds for Transfer Learning in Linear Regression and Linear Neural Networks

• Authors : Liu, Meitong; Jung, Christopher; Li, Rui

Subjects: Machine Learning

تفاصيل العنوان

Scaling Laws for Precision in High-Dimensional Linear Regression

• Authors : Zhang, Dechen; Tang, Xuan; Liang, Yingyu

Subjects: Machine Learning; Artificial Intelligence

تفاصيل العنوان

Transfer Learning of Linear Regression with Multiple Pretrained Models: Benefiting from More Pretrained Models via Overparameterization Debiasing

• Authors : Boharon, Daniel; Dar, Yehuda

Subjects: Machine Learning

تفاصيل العنوان

Scaling Laws of SignSGD in Linear Regression: When Does It Outperform SGD?

• Authors : Kim, Jihwan; Song, Dogyoon; Yun, Chulhee

Subjects: Machine Learning; Artificial Intelligence; Optimization and Control

تفاصيل العنوان

A robust transfer learning approach for high-dimensional linear regression to support integration of multi-source gene expression data.

• Authors : Pan L; Department of Biostatistics, School of Public Health, Fudan University, Shanghai, China.; Gao Q

Subjects: Gene Expression Profiling*/Gene Expression Profiling*/Gene Expression Profiling*/methods ; Machine Learning*; Computational Biology/Computational Biology/Computational Biology/methods

• Source: PLoS computational biology [PLoS Comput Biol] 2025 Jan 10; Vol. 21 (1), pp. e1012739. Date of Electronic Publication: 2025 Jan 10 (Print Publication: 2025).Publisher: Public Library of Science Country of Publication: United States NLM ID: 101238922 Publication Model: eCollection Cited Medium: Internet

تفاصيل العنوان

Optimal L2 Regularization in High-dimensional Continual Linear Regression

• Authors : Karpel, Gilad; Moroshko, Edward; Levinstein, Ran

Subjects: Machine Learning

تفاصيل العنوان