Results 21 to 30 of about 5,834,158 (292)
Gazi Üniversitesi Fen Bilimleri Dergisi, 2021 Weirs are the oldest and most practical structures used to control, regulate, and measure flow in rivers or open channels. The ratio of the actual discharge, smaller than the theoretical discharge due to the separation zone and boundary layer development,
Oğuz ŞİMŞEK +2 more
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International Journal of Advanced Robotic Systems, 2020 The multivariate statistical method such as principal component analysis based on linear dimension reduction and kernel principal component analysis based on nonlinear dimension reduction as the modified principal component analysis method are commonly ...
Liming Li +3 more
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A survey of kernel and spectral methods for clustering [PDF]
, 2007 Clustering algorithms are a useful tool to explore data structures and have been employed in many disciplines. The focus of this paper is the partitioning clustering problem with a special interest in two recent approaches: kernel and spectral methods ...
Masulli, F. +11 more
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Short-Term Load Forecasting Based on Integration of SVR and Stacking
IEEE Access, 2020 Selection of the kernel function by the support vector regression (SVR), for the purposes of load forecasting, is affected by the power load characteristics.
Zhenqi Tan +5 more
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THE BERGMAN KERNEL FUNCTION AND THE SZEGO KERNEL FUNCTION [PDF]
Journal of the Korean Mathematical Society, 2006 We compute the holomorphic derivative of the harmonic measure associated to a bounded domain in the plane and show that the exact Bergman kernel function associated to a bounded domain in the plane relates the derivatives of the Ahlfors map and the Szego kernel in an explicit way.
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Genome-Wide Gene-Based Multi-Trait Analysis
Frontiers in Genetics, 2020 Genome-wide association studies focusing on a single phenotype have been broadly conducted to identify genetic variants associated with a complex disease.
Yamin Deng +5 more
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Frontiers in Pharmacology, 2023 The target of the study is to predict the inhibitory effect of amide derivatives on xanthine oxidase (XO) by building several models, which are based on the theory of the quantitative structure–activity relationship (QSAR).
Xiaoda Yang +3 more
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SUPPORT VECTOR MACHINE BASED DISEASE DIAGNOSTIC ASSISTANT [PDF]
ICTACT Journal on Soft Computing, 2019 There has been a huge growth both in data and computing technology which has made it easier for the development of artificial intelligent systems that are capable of learning from this data and make medical diagnosis on their own.
Samuel Ndirangu, Davies Segera
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New Mixed Kernel Functions of SVM Used in Pattern Recognition
Cybernetics and Information Technologies, 2016 The pattern analysis technology based on kernel methods is a new technology, which combines good performance and strict theory. With support vector machine, pattern analysis is easy and fast. But the existing kernel function fits the requirement.
Huanrui Hao
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Journal of Control Science and Engineering, 2017 Support vector regression algorithm is widely used in fault diagnosis of rolling bearing. A new model parameter selection method for support vector regression based on adaptive fusion of the mixed kernel function is proposed in this paper.
Hailun Wang, Daxing Xu
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