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Hace 11 horas · Algunas de las ventajas de Clustering-Based Local Outlier Factor (CBLOF) en comparación con otras técnicas de detección de anomalías son las que se muestra a continuación: Publicidad Robustez en datos con variabilidad en las densidades: CBLOF muestra una gran robustez en conjuntos de datos donde los valores de densidad local es variable.
Hace 11 horas · This paper proposed to utilize the Shapley value linked with Mahalanobis distance (MD) and cell-wise outlier detection to facilitate the recognition of anomalous geochemical indicator elements. First, by considering the compositional nature of geochemical data, multivariate outliers are detected based on MD in isometric log-ratio coordinates.
Hace 11 horas · While associations between periodontitis and an elevated risk of cancer have been suggested, the results of existing observational studies have been inconsistent, also leaving room for further ...
A subreddit for Outlier AI remote workers to discuss and share experiences. AI trainers from other companies also welcome! Note--the intention is for remote workers (e.g. "Experts") who are helping create prompts, rate responses, and rate justifications to share their experiences here.
Hace 11 horas · Remove outlier for each column depending on lower_bound and upper_bound from another dataframe Asked by Cameron David on 2024-05-31
Hace 11 horas · Indeed, it may not be an outlier at all given certain kinds of historical background. The Dongbei region of China which is directly north of South Korea with only North Korea in between likely has an even lower Total Fertility Rate than South Korea does; the Crude Birth Rate (CBR) per 1,000 population was 4.47 in South Korea in 2023 and 3.90 in the Dongbei in 2022.
Hace 11 horas · Bracing for an outlier. by Anand James. May 31, 2024. Concept for: insider, leader, spy, … with depth of field. If history were to repeat, we are set to see a decline on the bourses as during four out of five of the last election years, we have seen sharp declines in the 7 days after results, with the least of the losses being 4.78% on the Nifty.
