Results 101 to 110 of about 326,273 (311)

Ridge Regression Learning Algorithm in Dual Variables

, 1998
In this paper we study a dual version of the Ridge Regression procedure. It allows us to perform non-linear regression by constructing a linear regression function in a high dimensional feature space.
C. Saunders, V. Vovk, Gammerman, A., Vovk, V., A. Gammerman, Saunders, C.   +5 more
core  

Symbolic Regression and Multi‐Objective Optimization of the Flory–Huggins Interaction Parameter for Hydrogels

Advanced Engineering Materials, EarlyView.
We develop a data‐driven method to derive the mathematical expressions of the Flory–Huggins interaction parameter χ for the swelling behavior of temperature–responsive hydrogels. Starting from initial assumptions of χ, our workflow combines Bayesian optimization, Flory–Rehner theory, and symbolic regression to generate candidate χ expressions.
Yawen Wang, Adrian Ehrenhofer, Thomas Wallmersperger   +2 more
wiley   +1 more source

Anomaly Detection of Hospital Claim Using Support Vector Regression

IJCCS (Indonesian Journal of Computing and Cybernetics Systems)
BPJS Kesehatan plays a crucial role in providing affordable access to healthcare services and reducing individual financial burdens. However, deficit issues can disrupt the sustainability of the program, making anomaly detection highly important to ...
Luthfia Nurma Hapsari, Nur Rokhman
doaj   +1 more source

Molecular Dynamics Studies of Shape Memory Polymers: From Bead–Spring Models to Atomistic Simulations

Advanced Engineering Materials, EarlyView.
Coarse‐grained (left) and atomistic (right) models of the shape memory polymer ESTANE ETE 75DT3 are shown schematically. The two representations bridge molecular detail and mesoscopic description. Both models capture shape memory behavior, linking segmental mobility and conformational relaxation of anisotropic chains to macroscopic recovery, and ...
Fathollah Varnik
wiley   +1 more source

Graduating the age-specific fertility pattern using Support Vector Machines [PDF]

A topic of interest in demographic literature is the graduation of the age-specific fertility pattern. A standard graduation technique extensively used by demographers is to fit parametric models that accurately reproduce it.
Anastasia Kostaki, Alberto Olivares, Stelios Psarakis, Javier Moguerza   +3 more
core  

Machine Learning‐Assisted Inverse Design of Soft and Multifunctional Hybrid Liquid Metal Composites

Advanced Functional Materials, EarlyView.
A machine learning framework is presented for inverse design of synthesizable multifunctional composites containing both liquid metal and solid inclusions. By integrating physics‐based modeling, data‐driven prediction, and Bayesian optimization, the approach enables intelligent design of experiments to identify optimal compositions and realize these ...
Lijun Zhou, Yunsik Ohm, Ren‐Mian Chin, Olivia Kerr, Krithika Manohar, Mohammad H. Malakooti   +5 more
wiley   +1 more source

Impact of Outliers on Regression Models Performance: A Comparative Analysis of Diabetes Data [PDF]

المجلة العلمية للدراسات والبحوث المالية والتجارية
This study used a dataset of 150 diabetic patients from Kafr El-Sheikh, Egypt, collected between 2000 and 2024, to examine the impact of outliers on the performance of different regression models: OLS, RR, QR, and SVR.
Abdelreheem Bassuny
doaj   +1 more source

A Probabilistic Framework for SVM Regression and Error Bar Estimation

, 2002
In this paper, we elaborate on the well-known relationship between Gaussian Processes (GP) and Support Vector Machines (SVM) under some convex assumptions for the loss functions.
Gao, J.B., Steve R. Gunn, Chris J. Harris, Junbin B. Gao, Martin Brown, Brown, M., Gunn, S.R., Harris, C.J.   +7 more
core  

Sparse kernel density construction using orthogonal forward regression with leave-one-out test score and local regularization [PDF]

, 2004
This paper presents an efficient construction algorithm for obtaining sparse kernel density estimates based on a regression approach that directly optimizes model generalization capability.
Harris, C. J., Hong, X., Harris, C.J., Chen, S.   +3 more
core   +1 more source

Blood Biomarkers and Surface‐Enhanced Raman Spectroscopy for Gout: A Comprehensive Review

Advanced Functional Materials, EarlyView.
Schematic illustrating gout disease progression from asymptomatic hyperuricemia to chronic tophaceous disease, highlighting the limitations of conventional imaging and biochemical diagnostics and the potential of engineered SERS platforms for ultrasensitive blood‐based detection of urate‐related biomarkers across disease stages, with the color gradient
Isuri Perera, Chiranjeevi Kanike, Appurva Tiwari, Hongyan Wu, Larry D. Unsworth, Ben Bin Xu, Xuehua Zhang   +6 more
wiley   +1 more source