Matches in SemOpenAlex for { <https://semopenalex.org/work/W4313307824> ?p ?o ?g. }
Showing items 1 to 87 of
87
with 100 items per page.
- W4313307824 abstract "Machine learning is an intensively evolving field of artificial intelligence with applications in all areas where data from observations and experiments are accumulated. In this study, for the first time, a new approach is developed to combine the predictions of several diverse machine learning models based on the stacked generalization paradigm. A new framework for stacking the models using exploratory factor analysis has been proposed. The approach is demonstrated for predicting the output laser electric power of a copper bromide vapor laser. The achieved results show the superiority of the constructed stacked model compared to the single base models." @default.
- W4313307824 created "2023-01-06" @default.
- W4313307824 creator A5027270422 @default.
- W4313307824 creator A5049769095 @default.
- W4313307824 creator A5089541658 @default.
- W4313307824 date "2022-11-16" @default.
- W4313307824 modified "2023-09-27" @default.
- W4313307824 title "Stacking Machine Learning Models using Factor Analysis to Predict the Output Laser Power" @default.
- W4313307824 cites W1986528915 @default.
- W4313307824 cites W1998377957 @default.
- W4313307824 cites W2000793850 @default.
- W4313307824 cites W2058570342 @default.
- W4313307824 cites W2067885219 @default.
- W4313307824 cites W2082382938 @default.
- W4313307824 cites W2759373267 @default.
- W4313307824 cites W2764334653 @default.
- W4313307824 cites W2807005934 @default.
- W4313307824 cites W2809563660 @default.
- W4313307824 cites W28412257 @default.
- W4313307824 cites W2911964244 @default.
- W4313307824 cites W2917196940 @default.
- W4313307824 cites W2990541393 @default.
- W4313307824 cites W3045312837 @default.
- W4313307824 cites W3090586341 @default.
- W4313307824 cites W3185133656 @default.
- W4313307824 cites W3194855792 @default.
- W4313307824 cites W4232478844 @default.
- W4313307824 cites W4240294902 @default.
- W4313307824 cites W2996102678 @default.
- W4313307824 doi "https://doi.org/10.1109/iceccme55909.2022.9988552" @default.
- W4313307824 hasPublicationYear "2022" @default.
- W4313307824 type Work @default.
- W4313307824 citedByCount "0" @default.
- W4313307824 crossrefType "proceedings-article" @default.
- W4313307824 hasAuthorship W4313307824A5027270422 @default.
- W4313307824 hasAuthorship W4313307824A5049769095 @default.
- W4313307824 hasAuthorship W4313307824A5089541658 @default.
- W4313307824 hasConcept C119857082 @default.
- W4313307824 hasConcept C120665830 @default.
- W4313307824 hasConcept C121332964 @default.
- W4313307824 hasConcept C134306372 @default.
- W4313307824 hasConcept C154945302 @default.
- W4313307824 hasConcept C163258240 @default.
- W4313307824 hasConcept C177148314 @default.
- W4313307824 hasConcept C202444582 @default.
- W4313307824 hasConcept C33347731 @default.
- W4313307824 hasConcept C33923547 @default.
- W4313307824 hasConcept C41008148 @default.
- W4313307824 hasConcept C46141821 @default.
- W4313307824 hasConcept C520434653 @default.
- W4313307824 hasConcept C62520636 @default.
- W4313307824 hasConcept C67186912 @default.
- W4313307824 hasConcept C77088390 @default.
- W4313307824 hasConcept C9652623 @default.
- W4313307824 hasConceptScore W4313307824C119857082 @default.
- W4313307824 hasConceptScore W4313307824C120665830 @default.
- W4313307824 hasConceptScore W4313307824C121332964 @default.
- W4313307824 hasConceptScore W4313307824C134306372 @default.
- W4313307824 hasConceptScore W4313307824C154945302 @default.
- W4313307824 hasConceptScore W4313307824C163258240 @default.
- W4313307824 hasConceptScore W4313307824C177148314 @default.
- W4313307824 hasConceptScore W4313307824C202444582 @default.
- W4313307824 hasConceptScore W4313307824C33347731 @default.
- W4313307824 hasConceptScore W4313307824C33923547 @default.
- W4313307824 hasConceptScore W4313307824C41008148 @default.
- W4313307824 hasConceptScore W4313307824C46141821 @default.
- W4313307824 hasConceptScore W4313307824C520434653 @default.
- W4313307824 hasConceptScore W4313307824C62520636 @default.
- W4313307824 hasConceptScore W4313307824C67186912 @default.
- W4313307824 hasConceptScore W4313307824C77088390 @default.
- W4313307824 hasConceptScore W4313307824C9652623 @default.
- W4313307824 hasLocation W43133078241 @default.
- W4313307824 hasOpenAccess W4313307824 @default.
- W4313307824 hasPrimaryLocation W43133078241 @default.
- W4313307824 hasRelatedWork W2537605514 @default.
- W4313307824 hasRelatedWork W2885094885 @default.
- W4313307824 hasRelatedWork W2961085424 @default.
- W4313307824 hasRelatedWork W4286629047 @default.
- W4313307824 hasRelatedWork W4288754364 @default.
- W4313307824 hasRelatedWork W4306674287 @default.
- W4313307824 hasRelatedWork W4308734192 @default.
- W4313307824 hasRelatedWork W4312831135 @default.
- W4313307824 hasRelatedWork W3125809522 @default.
- W4313307824 hasRelatedWork W4224009465 @default.
- W4313307824 isParatext "false" @default.
- W4313307824 isRetracted "false" @default.
- W4313307824 workType "article" @default.