Results 11 to 20 of about 3,821,405 (172)
A Relevance Vector Machine Prediction Method Based on the Biased Wavelet Kernel Function
ITM Web of Conferences, 2017 Relevance Vector Machine (RVM) is an important learning method in the field of machine learning for its sparsity, global optimality and the ability to solve nonlinear problems by using kernel functions. In this paper, a family of biased wavelets was used
Liu Fang +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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Accelerating Relevance Vector Machine for Large-Scale Data on Spark [PDF]
ITM Web of Conferences, 2017 Relevance vector machine (RVM) is a machine learning algorithm based on a sparse Bayesian framework, which performs well when running classification and regression tasks on small-scale datasets. However, RVM also has certain drawbacks which restricts its
Liu Fang, Zhong Hao, Li Si-Han
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Vector machine techniques for modeling of seismic liquefaction data
Ain Shams Engineering Journal, 2014 This article employs three soft computing techniques, Support Vector Machine (SVM); Least Square Support Vector Machine (LSSVM) and Relevance Vector Machine (RVM), for prediction of liquefaction susceptibility of soil.
Pijush Samui
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Recognition method of metal fracture images based on Wavelet kurtosis and Relevance vector machine
MATEC Web of Conferences, 2016 The useful information extracted from fracture images is the most fundamental problem of quantitative analysis and intelligent diagnosis of metal fracture.
Sun Yi, Li Zhinong, Yan Jingwen
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Model Predictive Engine Air-Ratio Control Using Online Sequential Relevance Vector Machine [PDF]
Journal of Control Science and Engineering, 2012 Engine power, brake-specific fuel consumption, and emissions relate closely to air ratio (i.e., lambda) among all the engine variables. An accurate and adaptive model for lambda prediction is essential to effective lambda control for long term.
Hang-cheong Wong +2 more
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Jixie qiangdu, 2019 Aiming at the fact that the fault diagnosis performance of relevance vector machine（RVM） in motor bearing highly depends on the parameters selection, a motor bearing fault diagnosis method based on RVM optimized by fruit fly optimization algorithm with ...
WANG HanZhang
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Taiyuan Ligong Daxue xuebao[Purposes] This work is carried out to improve the prediction accuracy of falling coal gas emission. A prediction method of falling coal gas emission by particle swarm optimization (PSO) and relevance vector machine (RVM) was proposed.
ZHANG Yan +3 more
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GP-RVM: Genetic Programing-Based Symbolic Regression Using Relevance Vector Machine [PDF]
2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2018 Accepted in IEEE SMC 2018.
Hossein Izadi Rad, Ji Feng, Hitoshi Iba
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Person Authentication using Relevance Vector Machine (RVM) for Face and Fingerprint [PDF]
International Journal of Modern Education and Computer Science, 2015 Multimodal biometric systems have proven more efficient in personal verification or identification than single biometric ones, so it is also a focus of this paper. Particularly, in the paper, the authors present a multimodal biometric system in which features from face and fingerprint images are extracted using Zernike Moment (ZM), the personal ...
Long B. Tran, Thai H. Le
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