This study investigates the feasibility of relevance vector machine tuned with dwarf mongoose optimization algorithm in … optimization, whale optimization, marine predators algorithms, and single relevance vector machine methods. Various lagged values … streamflow prediction. It is found that the integrating metaheuristic algorithms into single relevance vector machine improves …

with uniform design (UD), a machine learning approach of relevance vector machine (RVM) and a global searching algorithm of …

machine, relevance vector machine and generalized linear models are chosen for this study to integrate the Moderate Resolution …

Relevance vector machine, a sparse probabilistic learning machine based on the kernel function, has excellent ability … of prediction and generalization. It is proposed by this paper that the optimized relevance vector machine (ORVM) is a …

multivariate version of the relevance vector machine (RVM). Instead of the original treatment of the RVM relying on the use of type …

current research aims at proposing least square support vector machine (LSSVM) and relevance vector machine (RVM) as novel …