Forecasting Crude Oil Price Using EEMD and RVM with Adaptive PSO-Based Kernels

A novel decomposition ensemble model with extended extreme learning machine for crude oil price forecasting

(2016) Lean Yu et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Relevance vector classifier decision fusion and EEG graph-theoretic features for automatic affective state characterization

(2016) Rishabh Gupta et al.   NEUROCOMPUTING

Incremental granular relevance vector machine: A case study in multimodal biometrics

(2016) Hunny Mehrotra et al.   PATTERN RECOGNITION

Relevance Vector Machine for Survival Analysis

(2016) Farkhondeh Kiaee et al.   IEEE Transactions on Neural Networks and Learning Systems

Multivariate EMD-Based Modeling and Forecasting of Crude Oil Price

(2016) Kaijian He et al.   Sustainability

A decomposition–ensemble model with data-characteristic-driven reconstruction for crude oil price forecasting

(2015) Lean Yu et al.   APPLIED ENERGY

Combining ensemble empirical mode decomposition with spectrum subtraction technique for heart rate monitoring using wrist-type photoplethysmography

(2015) Yangsong Zhang et al.   Biomedical Signal Processing and Control

Wind speed prediction using the hybrid model of wavelet decomposition and artificial bee colony algorithm-based relevance vector machine

(2015) Sheng-wei Fei et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

A Novel CEEMD-Based EELM Ensemble Learning Paradigm for Crude Oil Price Forecasting

(2015) Ling Tang et al.   INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY & DECISION MAKING

Multifractal Analysis and Relevance Vector Machine-Based Automatic Seizure Detection in Intracranial EEG

(2015) Yanli Zhang et al.   International Journal of Neural Systems

Lithium-ion battery remaining useful life estimation with an optimized Relevance Vector Machine algorithm with incremental learning

(2015) Datong Liu et al.   MEASUREMENT

A novel bearing fault diagnosis model integrated permutation entropy, ensemble empirical mode decomposition and optimized SVM

(2015) Xiaoyuan Zhang et al.   MEASUREMENT

A novel sensor fault diagnosis method based on Modified Ensemble Empirical Mode Decomposition and Probabilistic Neural Network

(2015) Yunluo Yu et al.   MEASUREMENT

A Multiple-Kernel Relevance Vector Machine with Nonlinear Decreasing Inertia Weight PSO for State Prediction of Bearing

(2015) Sheng-wei Fei et al.   SHOCK AND VIBRATION

Genetic Optimal Regression of Relevance Vector Machines for Electricity Pricing Signal Forecasting in Smart Grids

(2015) Miltiadis Alamaniotis et al.   IEEE Transactions on Smart Grid

Day-Ahead Wind Speed Forecasting Using Relevance Vector Machine

(2014) Guoqiang Sun et al.   Journal of Applied Mathematics

Modeling tunneling-induced ground surface settlement development using a wavelet smooth relevance vector machine

(2013) Fan Wang et al.   COMPUTERS AND GEOTECHNICS

Comparison of two new ARIMA-ANN and ARIMA-Kalman hybrid methods for wind speed prediction

(2012) Hui Liu et al.   APPLIED ENERGY

Product quality modelling and prediction based on wavelet relevance vector machines

(2012) He Fei et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Crude oil price analysis and forecasting using wavelet decomposed ensemble model

(2012) Kaijian He et al.   ENERGY

Real-Time Forecasts of the Real Price of Oil

(2012) Christiane Baumeister et al.   JOURNAL OF BUSINESS & ECONOMIC STATISTICS

A novel particle swarm optimization algorithm with adaptive inertia weight

(2011) Ahmad Nickabadi et al.   APPLIED SOFT COMPUTING

A flexible neural network-fuzzy mathematical programming algorithm for improvement of oil price estimation and forecasting

(2011) Ali Azadeh et al.   COMPUTERS & INDUSTRIAL ENGINEERING

Multiclass Relevance Vector Machines: Sparsity and Accuracy

(2010) Ioannis Psorakis et al.   IEEE TRANSACTIONS ON NEURAL NETWORKS

Predicting EEG single trial responses with simultaneous fMRI and Relevance Vector Machine regression

(2010) Federico De Martino et al.   NEUROIMAGE

Detrended fluctuation analysis on spot and futures markets of West Texas Intermediate crude oil

(2010) Yudong Wang et al.   PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS

Relevance vector machine with adaptive wavelet kernels for efficient image coding

(2009) Arvind Tolambiya et al.   NEUROCOMPUTING

Combining wavelet-based feature extractions with relevance vector machines for stock index forecasting

(2008) Shian-Chang Huang et al.   EXPERT SYSTEMS