Predicting performance for large-scale industrial systems—like Google’s Borg compute clusters—has traditionally required extensive domain-specific feature engineering and tabular data representations, ...
This project uses concepts from the TV show The Good Place to explore binary and multinomial logistic regression. The dataset contains behavioral features from 1,000 individuals—such as how often they ...
ABSTRACT: This study addresses the research question: What is the effect of higher education liberalization on the regional distribution of universities and educational attainment in Zambia? The ...
1 Clinical Laboratory, Dongyang People’s Hospital, Dongyang, Zhejiang, China 2 Clinical Laboratory, The Second People’s Hospital of Yuhuan City, Yuhuan, Zhejiang, China Introduction: In this study, we ...
Background: Arthritis is the most disabling disease worldwide, and the presence of the disease usually greatly threatens the patient’s activities of daily living (ADL). Currently, there are a few ...
ABSTRACT: The Efficient Market Hypothesis postulates that stock prices are unpredictable and complex, so they are challenging to forecast. However, this study demonstrates that it is possible to ...
The following is a summary of “Lasso-derived model for early prediction of systemic sclerosis based on vasculopathy assessment: a population-based cohort study,” published in the March 2025 issue of ...
The race to build artificial intelligence is driven by little silicon chips called GPUs, which were originally created for video games. A drawing of a GPU chip Tech companies are now packing GPUs — ...
I would like to know about how to configure the Temporal Fusion Transformer (TFT) model for training on a binary classification task over time series data. It's important to note that in my dataset, ...
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