A practical tutorial on bagging and boosting based ensembles for machine learning: Algorithms, software tools, performance study, practical perspectives and opportunities
Universidad de Granada · Instituto Andaluz de Ciencias de la Tierra · +3 more institutions
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Abstract
No abstract available for this paper.
Citation impact
572
total citations
- FWCI
- 32.64
- Percentile
- 100%
- References
- 224
Citations per year
Authors
5- SGSergio GonzálezCorresponding
Universidad de Granada, Instituto Andaluz de Ciencias de la Tierra
- SGSalvador García
Instituto Andaluz de Ciencias de la Tierra, Universidad de Granada
- JDJavier Del Ser
University of the Basque Country, Association of Electronic and Information Technologies
- LRLior Rokach
Ben-Gurion University of the Negev
- FHFrancisco Herrera
Instituto Andaluz de Ciencias de la Tierra, Universidad de Granada
Topics & keywords
Topics
Keywords
- Boosting (machine learning)
- Computer science
- Machine learning
- Random forest
- Ensemble learning
- Artificial intelligence
- Workflow
- Categorical variable
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