Cargando…
Margin-Based Pareto Ensemble Pruning: An Ensemble Pruning Algorithm That Learns to Search Optimized Ensembles
The ensemble pruning system is an effective machine learning framework that combines several learners as experts to classify a test set. Generally, ensemble pruning systems aim to define a region of competence based on the validation set to select the most competent ensembles from the ensemble pool...
Autores principales: | Hu, Ruihan, Zhou, Songbin, Liu, Yisen, Tang, Zhiri |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6589231/ https://www.ncbi.nlm.nih.gov/pubmed/31281338 http://dx.doi.org/10.1155/2019/7560872 |
Ejemplares similares
-
Biomedical Text Categorization Based on Ensemble Pruning and Optimized Topic Modelling
por: Onan, Aytuğ
Publicado: (2018) -
AcneGrader: An ensemble pruning of the deep learning base models to grade acne
por: Liu, Shuai, et al.
Publicado: (2022) -
Unsupervised encoding selection through ensemble pruning for biomedical classification
por: Spänig, Sebastian, et al.
Publicado: (2023) -
Iteratively Pruned Deep Learning Ensembles for COVID-19 Detection in Chest X-Rays
Publicado: (2020) -
Reliable Identification and Interpretation of Single‐Cell Molecular Heterogeneity and Transcriptional Regulation using Dynamic Ensemble Pruning
por: Fan, Yi, et al.
Publicado: (2023)