Results 81 to 90 of about 3,821,405 (172)

Application of Status Monitoring of Wind Turbines Based on Relevance Vector Machine Regression

, 2011
Based on the single kernel function relevance vector machine(RVM) models，a multiple load-forecasting model has been established and simulated with several compound kernel functions, including Gauss kernel, Laplace, linear compounded by Gauss and Laplace,
Lin Tao Hu, Jian Ping Sun
core   +1 more source

Relevance Vector Machines for Enhanced BER Probability in DMT-Based Systems

Journal of Electrical and Computer Engineering, 2010
A new channel estimation method for discrete multitone (DMT) communication system based on sparse Bayesian learning relevance vector machine (RVM) method is presented.
Ashraf A. Tahat, Nikolaos P. Galatsanos
doaj   +1 more source

Local Regularization Assisted Orthogonal Least Squares Regression

, 2006
A locally regularized orthogonal least squares (LROLS) algorithm is proposed for constructing parsimonious or sparse regression models that generalize well.
Chen, S.
core   +1 more source

The relevance vector machine

, 2000
The Support Vector Machine (SVM) of Vapnik [9] has become widely established as one of the leading approaches to pattern recognition and machine learning.
Christopher M. Bishop
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A Multiple-Kernel Relevance Vector Machine with Nonlinear Decreasing Inertia Weight PSO for State Prediction of Bearing

Shock and Vibration, 2015
The scientific and accurate prediction for state of bearing is the key to ensure its safe operation. A multiple-kernel relevance vector machine (MkRVM) including RBF kernel and polynomial kernel is proposed for state prediction of bearing in this study ...
Sheng-wei Fei, Yong He
doaj   +1 more source

Kernel Based Relevance Vector Machine for Classification of Diseases

, 2013
Motivated by improvements of diseases and cancers depiction that will be facilitated by an ability to predict the related syndrome occurrence; this work employs a data-driven approach to developing cancer classification/prediction models using Relevance ...
Tcheimegni, Elie
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Large scale multikernel relevance vector machine for object detection

, 2007
The Relevance Vector Machine(RVM) is a widely accepted Bayesian model commonly used for regression and classification tasks. In this paper we propose a multikernel version of the RVM and present an alternative inference algorithm based on Fourier domain ...
Tzikas, D., Likas, A., Galatsanos, N.
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Analisis Sentimen Berdasarkan Aspek Menggunakan Relevance Vector Machine

, 2020
Analisis Sentimen Berdasarkan Aspek atau dikenal juga sebagai Aspect Based Sentiment Analysis (ABSA) adalah metode untuk menemukan polaritas (positif atau negatif) suatu review terhadap aspek dari review tersebut.
Siregar, Osmartin Pardomuan
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Rotor Position Self-Sensing of SRM Using PSO-RVM

, 2018
The motors’ flux-linkage, current and angle obtained from the system with sensors were chosen as the sample data, and the estimation model of rotor position based on relevance vector machine (RVM) was built by training the sample data.
Yanjun Yu, Qianwen Xiang, Kunhua Chen, Ye Yuan   +3 more
core   +1 more source

Application of Relevance Vector Machine in Seismic Attenuation Prediction

, 2007
The recently introduced relevance vector machine (RVM) technique is applied to predict seismic attenuation based on rock properties. The RVM provides much sparser regressors without compromising performance, and kernel bases give a small but worthwhile ...
Samui, Pijush
core