Matches in SemOpenAlex for { <https://semopenalex.org/work/W4313341957> ?p ?o ?g. }
Showing items 1 to 68 of
68
with 100 items per page.
- W4313341957 endingPage "276" @default.
- W4313341957 startingPage "266" @default.
- W4313341957 abstract "In machine learning, classification is one of the important methods used to train a model for the identification of each class on a labelled dataset. The performance of the algorithm can be enhanced using ensemble techniques such as bagging and random subsampling. Random forest (RF) is an ensemble machine learning algorithm to address multiclass classification problems. Several RF algorithms have been proposed to obtain various levels of accuracy on different datasets during classification. But it has been observed that the manual configuration of RF hyperparameter and its accuracy varies significantly depending upon different datasets. Manual configuration of hyperparameter is a time consuming job. Thus, the hyperparameter optimization process is used to generate optimal hyperparameter efficiently. Hyperparameter optimization also enhances the performance of machine learning algorithms. This paper proposes improved particle swarm optimization (PSO) method as hyperparameter optimizer to identify the optimal hyperparameter of the random forest algorithm. We compare the performance of RF model using improved PSO optimizer and existing RF model with default hyperparameter. The improved PSO outperforms the improvement of accuracy during the classification of each digit of the handwritten dataset." @default.
- W4313341957 created "2023-01-06" @default.
- W4313341957 creator A5058792267 @default.
- W4313341957 creator A5062954047 @default.
- W4313341957 date "2022-01-01" @default.
- W4313341957 modified "2023-10-11" @default.
- W4313341957 title "Optimization of Random Forest Hyperparameter Using Improved PSO for Handwritten Digits Classification" @default.
- W4313341957 cites W2024365709 @default.
- W4313341957 cites W2024502389 @default.
- W4313341957 cites W2396666837 @default.
- W4313341957 cites W2726140679 @default.
- W4313341957 cites W2735913953 @default.
- W4313341957 cites W2753899746 @default.
- W4313341957 cites W2911964244 @default.
- W4313341957 cites W2935024963 @default.
- W4313341957 cites W3015432391 @default.
- W4313341957 cites W3015779580 @default.
- W4313341957 cites W3092589772 @default.
- W4313341957 cites W3120467417 @default.
- W4313341957 cites W3133735015 @default.
- W4313341957 cites W3138239626 @default.
- W4313341957 cites W3150064693 @default.
- W4313341957 cites W3171228128 @default.
- W4313341957 cites W3210728860 @default.
- W4313341957 doi "https://doi.org/10.1007/978-3-031-21750-0_23" @default.
- W4313341957 hasPublicationYear "2022" @default.
- W4313341957 type Work @default.
- W4313341957 citedByCount "1" @default.
- W4313341957 countsByYear W43133419572023 @default.
- W4313341957 crossrefType "book-chapter" @default.
- W4313341957 hasAuthorship W4313341957A5058792267 @default.
- W4313341957 hasAuthorship W4313341957A5062954047 @default.
- W4313341957 hasConcept C10485038 @default.
- W4313341957 hasConcept C119857082 @default.
- W4313341957 hasConcept C12267149 @default.
- W4313341957 hasConcept C153180895 @default.
- W4313341957 hasConcept C154945302 @default.
- W4313341957 hasConcept C169258074 @default.
- W4313341957 hasConcept C41008148 @default.
- W4313341957 hasConcept C85617194 @default.
- W4313341957 hasConcept C8642999 @default.
- W4313341957 hasConceptScore W4313341957C10485038 @default.
- W4313341957 hasConceptScore W4313341957C119857082 @default.
- W4313341957 hasConceptScore W4313341957C12267149 @default.
- W4313341957 hasConceptScore W4313341957C153180895 @default.
- W4313341957 hasConceptScore W4313341957C154945302 @default.
- W4313341957 hasConceptScore W4313341957C169258074 @default.
- W4313341957 hasConceptScore W4313341957C41008148 @default.
- W4313341957 hasConceptScore W4313341957C85617194 @default.
- W4313341957 hasConceptScore W4313341957C8642999 @default.
- W4313341957 hasLocation W43133419571 @default.
- W4313341957 hasOpenAccess W4313341957 @default.
- W4313341957 hasPrimaryLocation W43133419571 @default.
- W4313341957 hasRelatedWork W3096565539 @default.
- W4313341957 hasRelatedWork W4200551482 @default.
- W4313341957 hasRelatedWork W4223444191 @default.
- W4313341957 hasRelatedWork W4283697347 @default.
- W4313341957 hasRelatedWork W4295309597 @default.
- W4313341957 hasRelatedWork W4313213832 @default.
- W4313341957 hasRelatedWork W4317600379 @default.
- W4313341957 hasRelatedWork W4320494184 @default.
- W4313341957 hasRelatedWork W4322775603 @default.
- W4313341957 hasRelatedWork W4362544620 @default.
- W4313341957 isParatext "false" @default.
- W4313341957 isRetracted "false" @default.
- W4313341957 workType "book-chapter" @default.