Sentence examples for a relevance vector from inspiring English sources

A relevance vector machine is used to automatically select the most relevant terms of the model.

In particular, a relevance vector machine is used to automatically select the most relevant terms of the model while retaining an analytical expression for the predictive distribution.

A relevance vector machine is trained over 3 dimensional feature vectors pertaining to global, local and rarity measures of conspicuity, to yield probabilistic values which form the saliency map.

Also, a relevance vector machine might be used [ 37].

This improvement was not specific to our ANN, but could be also seen with another MLC, a relevance vector machine (RVM) classifier, that we constructed and tested for comparison purposes.

Li et al. developed a promoter classification method using a Relevance Vector Machine (RVM) and Bayesian statistical principles to identify discriminatory features in the promoter sequences of genes that could classify transcriptional responses and they correctly predicted 70% genes as being up- or down-regulated [ 29], based on a small set of discriminative promoter motifs.

This work proposes a multi-scale relevance vector regression (MSRVR) approach to forecast daily urban water demand.

Here we develop a novel integrated modeling approach with uniform design (UD), a machine learning approach of relevance vector machine (RVM) and a global searching algorithm of accelerating genetic algorithm (AGA) to optimize the operation of multi-variable MFCs after they are constructed.

Two generic daily ET models, a regression model (MSE = 0.44 mm2, R2 = 0.80) and a machine learning-based Relevance Vector Machine (RVM) model (MSE = 0.36 mm2, R2 = 0.84), were developed with the latter being more robust.

This paper proposed a model based on relevance vector machines (RVMs) to develop the predictive relations.

The methodology utilizes a statistical learning algorithm called relevance vector machines (RVM), which is a sparse Bayesian framework that can be used for obtaining solutions to regression and classification tasks.