Results 11 to 20 of about 3,885,736 (246)
Wavelet Kernel Relevance Vector Machine Algorithm Based on Adaptive Kernel Parameter Optimization [PDF]
Jisuanji gongcheng, 2017 The traditional Relevance Vector Machine(RVM) algorithm is slow to train on large scale datasets,and the Gauss radial kernel cannot express the feature space completely.So based on adaptive kernel parameter optimization,this paper proposes a wavelet ...
GAO Mingzhe,XU Aiqiang,ZHANG Wei
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kernlab - An S4 Package for Kernel Methods in R [PDF]
Journal of Statistical Software, 2004 kernlab is an extensible package for kernel-based machine learning methods in R. It takes advantage of R's new S4 ob ject model and provides a framework for creating and using kernel-based algorithms. The package contains dot product primitives (kernels),
Alexandros Karatzoglou +3 more
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Day-Ahead Wind Speed Forecasting Using Relevance Vector Machine [PDF]
Journal of Applied Mathematics, 2014 With the development of wind power technology, the security of the power system, power quality, and stable operation will meet new challenges. So, in this paper, we propose a recently developed machine learning technique, relevance vector machine (RVM ...
Guoqiang Sun +4 more
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ICTACT Journal on Soft Computing, 2021 Anomalous transactions are common activity happening on the financial oriented transaction. Detecting those anomalous transactions from the financial transaction patterns is the most complex task which is focused in this work.
S Senthil Kumar, S Mythili
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Glaucoma Identification Using Relevance Vector Machine [PDF]
E3S Web of ConferencesGlaucoma is a chronic optic neuropathy characterized by curvature of the optic disc and narrowing of the visual field, accompanied by increased intraocular pressure.
Miftahuddin Yusup, Ichsan Alfian
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Numerical Test and Strength Prediction of Concrete Failure Process Based on RVM Algorithm
Buildings, 2022 Recycled aggregate concrete (RAC) based on the machine learning (ML) method predicts the nonlinear uncertainty relationship between various mixing ratios and strength.
Chunyang Xia, Xuedong Guo, Wenting Dai
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Thermal Image Enhancement using Bi-dimensional Empirical Mode Decomposition in Combination with Relevance Vector Machine for Rotating Machinery Fault Diagnosis [PDF]
, 2009 In this study, a novel fault diagnosis system for rotating machinery using thermal imaging is proposed. This system consists of bi-dimensional empirical mode decomposition (BEMD) for image enhancement, a generalized discriminant analysis (GDA) for ...
Yang, Bo-Suk +7 more
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Fault Diagnosis of Reciprocating Compressors Using Revelance Vector Machines with A Genetic Algorithm Based on Vibration Data [PDF]
This paper focuses on the development of an advanced fault classifier for monitoring reciprocating compressors (RC) based on vibration signals. Many feature parameters can be used for fault diagnosis, here the classifier is developed based on a relevance
Gu, Fengshou +3 more
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Multitraining support vector machine for image retrieval [PDF]
, 2006 Relevance feedback (RF) schemes based on support vector machines (SVMs) have been widely used in content-based image retrieval (CBIR). However, the performance of SVM-based RF approaches is often poor when the number of labeled feedback samples is small.
Tao, D. +7 more
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Advances in Mechanical Engineering, 2017 In this article, fault diagnosis of bearing based on relevance vector machine classifier with improved binary bat algorithm is proposed, and the improved binary bat algorithm is used to select the appropriate features and kernel parameter of relevance ...
Sheng-wei Fei
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