Matches in SemOpenAlex for { <https://semopenalex.org/work/W2886557773> ?p ?o ?g. }
Showing items 1 to 84 of
84
with 100 items per page.
- W2886557773 abstract "We present a Gaussian process regression (GPR) algorithm with variable models to adapt to numerous pattern recognition data for classification. The algorithms of the Gaussian process regression (GPR) models including the rational quadratic GPR, squared exponential GPR, matern 5/2 GPR, and exponential GPR are described. The response plot, predicted vs. actual plot, and residuals plot of these GPR models are demonstrated. In addition, a comprehensive comparison of classification performance among rational quadratic GPR, squared exponential GPR, matern 5/2 GPR, and exponential GPR is presented in terms of various model statistics. Furthermore, the classification error rates of these four GPR based models are in comparison to the extended nearest neighbor (ENN), classic k-nearest Neighbor (KNN), naive Bayes, linear discriminant analysis (LDA), and the classic multilayer perceptron (MLP) neural network. The excellent experimental results demonstrated that the Gaussian process regression models provide a very promising feature selection solution to numerous pattern recognition problems. The algorithm is able to learn from the global distribution, therefore improving pattern recognition performance." @default.
- W2886557773 created "2018-08-22" @default.
- W2886557773 creator A5005965012 @default.
- W2886557773 creator A5026794628 @default.
- W2886557773 creator A5037972692 @default.
- W2886557773 creator A5086517540 @default.
- W2886557773 date "2018-06-01" @default.
- W2886557773 modified "2023-10-14" @default.
- W2886557773 title "Gaussian Process Regression Method for Classification for High-Dimensional Data with Limited Samples" @default.
- W2886557773 cites W1500568346 @default.
- W2886557773 cites W2063411532 @default.
- W2886557773 cites W2156909104 @default.
- W2886557773 cites W2160607244 @default.
- W2886557773 cites W2518815253 @default.
- W2886557773 cites W2775194089 @default.
- W2886557773 doi "https://doi.org/10.1109/icist.2018.8426077" @default.
- W2886557773 hasPublicationYear "2018" @default.
- W2886557773 type Work @default.
- W2886557773 sameAs 2886557773 @default.
- W2886557773 citedByCount "31" @default.
- W2886557773 countsByYear W28865577732018 @default.
- W2886557773 countsByYear W28865577732019 @default.
- W2886557773 countsByYear W28865577732020 @default.
- W2886557773 countsByYear W28865577732021 @default.
- W2886557773 countsByYear W28865577732022 @default.
- W2886557773 countsByYear W28865577732023 @default.
- W2886557773 crossrefType "proceedings-article" @default.
- W2886557773 hasAuthorship W2886557773A5005965012 @default.
- W2886557773 hasAuthorship W2886557773A5026794628 @default.
- W2886557773 hasAuthorship W2886557773A5037972692 @default.
- W2886557773 hasAuthorship W2886557773A5086517540 @default.
- W2886557773 hasConcept C113238511 @default.
- W2886557773 hasConcept C11413529 @default.
- W2886557773 hasConcept C119857082 @default.
- W2886557773 hasConcept C121332964 @default.
- W2886557773 hasConcept C138885662 @default.
- W2886557773 hasConcept C153180895 @default.
- W2886557773 hasConcept C154945302 @default.
- W2886557773 hasConcept C163716315 @default.
- W2886557773 hasConcept C2776401178 @default.
- W2886557773 hasConcept C33923547 @default.
- W2886557773 hasConcept C41008148 @default.
- W2886557773 hasConcept C41895202 @default.
- W2886557773 hasConcept C554190296 @default.
- W2886557773 hasConcept C61326573 @default.
- W2886557773 hasConcept C62520636 @default.
- W2886557773 hasConcept C71813955 @default.
- W2886557773 hasConcept C76155785 @default.
- W2886557773 hasConcept C81692654 @default.
- W2886557773 hasConceptScore W2886557773C113238511 @default.
- W2886557773 hasConceptScore W2886557773C11413529 @default.
- W2886557773 hasConceptScore W2886557773C119857082 @default.
- W2886557773 hasConceptScore W2886557773C121332964 @default.
- W2886557773 hasConceptScore W2886557773C138885662 @default.
- W2886557773 hasConceptScore W2886557773C153180895 @default.
- W2886557773 hasConceptScore W2886557773C154945302 @default.
- W2886557773 hasConceptScore W2886557773C163716315 @default.
- W2886557773 hasConceptScore W2886557773C2776401178 @default.
- W2886557773 hasConceptScore W2886557773C33923547 @default.
- W2886557773 hasConceptScore W2886557773C41008148 @default.
- W2886557773 hasConceptScore W2886557773C41895202 @default.
- W2886557773 hasConceptScore W2886557773C554190296 @default.
- W2886557773 hasConceptScore W2886557773C61326573 @default.
- W2886557773 hasConceptScore W2886557773C62520636 @default.
- W2886557773 hasConceptScore W2886557773C71813955 @default.
- W2886557773 hasConceptScore W2886557773C76155785 @default.
- W2886557773 hasConceptScore W2886557773C81692654 @default.
- W2886557773 hasLocation W28865577731 @default.
- W2886557773 hasOpenAccess W2886557773 @default.
- W2886557773 hasPrimaryLocation W28865577731 @default.
- W2886557773 hasRelatedWork W2056958800 @default.
- W2886557773 hasRelatedWork W2169866437 @default.
- W2886557773 hasRelatedWork W2600092203 @default.
- W2886557773 hasRelatedWork W2803685231 @default.
- W2886557773 hasRelatedWork W2966696655 @default.
- W2886557773 hasRelatedWork W3134152097 @default.
- W2886557773 hasRelatedWork W4293503520 @default.
- W2886557773 hasRelatedWork W4300066510 @default.
- W2886557773 hasRelatedWork W4311388919 @default.
- W2886557773 hasRelatedWork W566010457 @default.
- W2886557773 isParatext "false" @default.
- W2886557773 isRetracted "false" @default.
- W2886557773 magId "2886557773" @default.
- W2886557773 workType "article" @default.