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Robustness of machine learning algorithms to skewness, spatial dependence, and sample size compared to BME in soil fertility prediction
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| Published in: | Discover Artificial Intelligence (Springer) |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2026
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| _version_ | 1868553828064821248 |
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| collection | WordPress RSS FRELIP Feed Integration |
| container_title | Discover Artificial Intelligence (Springer) |
| description | |
| discipline_display | Access Artificial Intelligence and Machine Learning |
| discipline_facet | Access Artificial Intelligence and Machine Learning |
| format | Online Article RSS Article |
| genre | Journal Article |
| id | rss_article:89471 |
| institution | FRELIP |
| journal_source_facet | Discover Artificial Intelligence (Springer) |
| last_indexed | 2026-06-20T21:42:52.047Z |
| publishDate | 2026 |
| publishDateSort | 2026 |
| record_format | rss_article |
| spellingShingle | Robustness of machine learning algorithms to skewness, spatial dependence, and sample size compared to BME in soil fertility prediction Access Artificial Intelligence and Machine Learning General Access Artificial Intelligence and Machine Learning |
| sub_discipline_display | General |
| sub_discipline_facet | General |
| subject_display | Access Artificial Intelligence and Machine Learning General Access Artificial Intelligence and Machine Learning |
| subject_facet | Access Artificial Intelligence and Machine Learning General Access Artificial Intelligence and Machine Learning |
| title | Robustness of machine learning algorithms to skewness, spatial dependence, and sample size compared to BME in soil fertility prediction |
| title_alt | Robustez de los algoritmos de aprendizaje automático frente a asimetría, dependencia espacial y tamaño de muestra en comparación con BME en la predicción de la fertilidad del suelo Robustesse des algorithmes d'apprentissage automatique face à l'asymétrie, la dépendance spatiale et la taille de l'échantillon comparée à BME dans la prédiction de la fertilité des sols Robustez de Algoritmos de Aprendizado de Máquina à Assimetria, Dependência Espacial e Tamanho da Amostra Comparados ao BME na Predição da Fertilidade do Solo |
| title_auth | Robustness of machine learning algorithms to skewness, spatial dependence, and sample size compared to BME in soil fertility prediction |
| title_es_txt | Robustez de los algoritmos de aprendizaje automático frente a asimetría, dependencia espacial y tamaño de muestra en comparación con BME en la predicción de la fertilidad del suelo |
| title_fr_txt | Robustesse des algorithmes d'apprentissage automatique face à l'asymétrie, la dépendance spatiale et la taille de l'échantillon comparée à BME dans la prédiction de la fertilité des sols |
| title_full | Robustness of machine learning algorithms to skewness, spatial dependence, and sample size compared to BME in soil fertility prediction |
| title_fullStr | Robustness of machine learning algorithms to skewness, spatial dependence, and sample size compared to BME in soil fertility prediction |
| title_full_unstemmed | Robustness of machine learning algorithms to skewness, spatial dependence, and sample size compared to BME in soil fertility prediction |
| title_pt_txt | Robustez de Algoritmos de Aprendizado de Máquina à Assimetria, Dependência Espacial e Tamanho da Amostra Comparados ao BME na Predição da Fertilidade do Solo |
| title_short | Robustness of machine learning algorithms to skewness, spatial dependence, and sample size compared to BME in soil fertility prediction |
| title_sort | robustness of machine learning algorithms to skewness, spatial dependence, and sample size compared to bme in soil fertility prediction |
| topic | Access Artificial Intelligence and Machine Learning General Access Artificial Intelligence and Machine Learning |
| url | https://link.springer.com/article/10.1007/s44163-026-01530-7 |