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Hace 1 día · Calderón (2006), la investigación descriptiva definida como un proceso intencional de recopilar, analizar, clasificar y tabular datos sobre condiciones prevalecientes, prácticas, procesos, tendencias y relaciones de causa-efecto y luego hacer una interpretación adecuada y precisa sobre dichos datos con o sin o algunas veces …
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Hace 1 día · Advancements in science rely on data sharing. In medicine, where personal data are often involved, synthetic tabular data generated by generative adversarial networks (GANs) offer a promising avenue. However, existing GANs struggle to capture the complexities of real-world tabular data, which often contain a mix of continuous and categorical variables with potential imbalances and dependencies ...
Hace 1 día · emphatic: Exploratory Analysis of Tabular Data using Colour Highlighting. Tools for exploratory analysis of tabular data using colour highlighting. Highlighting is displayed in any console supporting 'ANSI' colours, and can be converted to 'HTML', 'typst', 'latex' and 'SVG'. 'quarto' and 'rmarkdown' rendering are directly supported.
Hace 4 días · This work proposes MIXTUREPFN, which both extends nearest-neighbor sampling to the state-of-the-art ICL for tabular learning model and uses bootstrapping to finetune said model on the inference-time dataset. Recent benchmarks found In-Context Learning (ICL) outperforms both deep learning and tree-based algorithms on small tabular datasets. However, on larger datasets, ICL for tabular learning ...
Hace 3 días · sample estimates: rho. 0.4408387. Since the p-value is less than 0.05 (For Pearson it is 0.002758 and for Spearman, it is 0.01306, we can conclude that the Girth and Height of the trees are significantly correlated for both the coefficients with the value of 0.5192801 (Pearson) and 0.4408387 (Spearman).
In the past, tabular data classification was dominated by tree-based algorithms like XGBoost and CatBoost, but now we are finally closing this gap using pretrained transformers. In-context learning transformers were introduced to tabular data classification by Hollman et al. (ICLR, 2023) in TabPFN. This work is limited by the GPU memory, so it ...
