A New Approach to Probabilistic Classification Based on Gaussian Process and Support Vector Machine

A random subspace ensemble classification model for discrimination of power quality events in solar PV microgrid power network

(2022) Arangarajan Vinayagam et al.   PLoS One

Reduction of training data for support vector machine: a survey

(2022) Pardis Birzhandi et al.   SOFT COMPUTING

Internet of Things resource monitoring through proactive fault prediction

(2022) Abishi Chowdhury et al.   COMPUTERS & INDUSTRIAL ENGINEERING

A survey on multi-objective hyperparameter optimization algorithms for machine learning

(2022) Alejandro Morales-Hernández et al.   ARTIFICIAL INTELLIGENCE REVIEW

An operating performance assessment strategy with multiple modes based on least squares support vector machines for drilling process

(2021) Haipeng Fan et al.   COMPUTERS & INDUSTRIAL ENGINEERING

Bayesian neural networks for uncertainty quantification in data-driven materials modeling

(2021) Audrey Olivier et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

Nested aggregation of experts using inducing points for approximated Gaussian process regression

(2021) Ayano Nakai-Kasai et al.   MACHINE LEARNING

Anomaly detection in streaming data with gaussian process based stochastic differential equations

(2021) Alex Glyn-Davies et al.   PATTERN RECOGNITION LETTERS

Evolutionary Optimization of High-Dimensional Multiobjective and Many-Objective Expensive Problems Assisted by a Dropout Neural Network

(2021) Dan Guo et al.   IEEE Transactions on Systems Man Cybernetics-Systems

Gaussian process estimation of transition redshift

(2020) J.F. Jesus et al.   JOURNAL OF COSMOLOGY AND ASTROPARTICLE PHYSICS

Deep convolutional neural networks with transfer learning for automated brain image classification

(2020) Taranjit Kaur et al.   MACHINE VISION AND APPLICATIONS

Application of supervised machine learning paradigms in the prediction of petroleum reservoir properties: Comparative analysis of ANN and SVM models

(2020) Daniel Asante Otchere et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

Feature-fusion-kernel-based Gaussian process model for probabilistic long-term load forecasting

(2020) Yaonan Guan et al.   NEUROCOMPUTING

Sparse Gaussian process for online seagrass semantic mapping

(2020) Eric Guerrero-Font et al.   EXPERT SYSTEMS WITH APPLICATIONS

A systematic literature review of machine learning methods applied to predictive maintenance

(2019) Thyago P. Carvalho et al.   COMPUTERS & INDUSTRIAL ENGINEERING

Fast data selection for SVM training using ensemble margin

(2015) Li Guo et al.   PATTERN RECOGNITION LETTERS

A weighted support vector machine method for control chart pattern recognition

(2014) Petros Xanthopoulos et al.   COMPUTERS & INDUSTRIAL ENGINEERING

Efficient Probabilistic Classification Vector Machine With Incremental Basis Function Selection

(2013) Huanhuan Chen et al.   IEEE Transactions on Neural Networks and Learning Systems

Probabilistic classifiers with a generalized Gaussian scale mixture prior

(2012) Guoqing Liu et al.   PATTERN RECOGNITION

LIBSVM

(2012) Chih-Chung Chang et al.   ACM Transactions on Intelligent Systems and Technology

Effective recognition of control chart patterns in autocorrelated data using a support vector machine based approach

(2011) Shih-Yen Lin et al.   COMPUTERS & INDUSTRIAL ENGINEERING

Web-based algorithm for cylindricity evaluation using support vector machine learning

(2010) Keun Lee et al.   COMPUTERS & INDUSTRIAL ENGINEERING

Gaussian Process Approach to Remote Sensing Image Classification

(2009) Y. Bazi et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Probabilistic Classification Vector Machines

(2009) Huanhuan Chen et al.   IEEE TRANSACTIONS ON NEURAL NETWORKS

Applying wavelets transform and support vector machine for copper clad laminate defects classification

(2008) Te-Sheng Li   COMPUTERS & INDUSTRIAL ENGINEERING