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What is Relevance Vector Machine

Chapter 17
Handbook of Research on Advanced Computational Techniques for Simulation-Based Engineering
A machine learning method that uses Bayesian inference by modifying the mechanism of support vector machine to obtain parsimonious solutions for regression and classification.
Published in Chapter:
Simulation of Temperature and Precipitation under the Climate Change Scenarios: Integration of a GCM and Machine Learning Approaches
Umut Okkan (Balikesir University, Turkey) and Gul Inan (Middle East Technical University, Turkey)
Copyright: © 2016 |Pages: 27
DOI: 10.4018/978-1-4666-9479-8.ch017
Abstract
This study aims to discuss the potentials of machine learning methods such as artificial neural network (ANN), least squares support vector machine (LSSVM), and relevance vector machine (RVM) in downscaling of simulations of a general circulation model (GCM) for monthly temperature and precipitation of the Demirkopru Dam located in the Aegean region of Turkey. The predictors are obtained from ERA-Interim re-analysis data. The best performed downscaling model is integrated into European Centre Hamburg Model (ECHAM5) with A2 future scenario. The results are then discussed to assess the probable climate change effects on temperature and precipitation.
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Chapter 5
Utilization of Classification Techniques for the Determination of Liquefaction Susceptibility of Soils
Relevance Vector Machine (RVM) uses Bayesian inference to get the solutions for classification and regression problems. It has same functional form of SVM, but provides the probabilistic classification.
Published in Chapter: Utilization of Classification Techniques for the Determination of Liquefaction Susceptibility of Soils; From: Handbook of Research on Advanced Hybrid Intelligent Techniques and Applications
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Chapter 24
GPR and RVM-Based Predictions of Surface and Hole Quality in Drilling of AISI D2 Cold Work Tool Steel
Relevance Vector Machine is based on a Bayesian formulation of a linear model with an appropriate prior that results in a sparse representation.
Published in Chapter: GPR and RVM-Based Predictions of Surface and Hole Quality in Drilling of AISI D2 Cold Work Tool Steel; From: Handbook of Research on Artificial Intelligence Techniques and Algorithms
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Chapter 1
Determination of Rate of Medical Waste Generation Using RVM, MARS and MPMR
Relevance Vector Machine (RVM) uses Bayesian inference to get the solutions for classification and regression problems. It has same functional form of SVM, but provides the probabilistic classification.
Published in Chapter: Determination of Rate of Medical Waste Generation Using RVM, MARS and MPMR; From: Handbook of Research on Waste Management Techniques for Sustainability
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