This important work sets out to identify the neural substrates of associative fear responses in adult zebrafish. Through a compelling and innovative paradigm and analysis, the authors suggest brain ...

Electron density is a fundamental quantity that can in principle determine all ground state electronic properties of a given system. Although machine learning (ML) models for electron density based on ...

Summary Bootstrap Aggregation (Bagging) is a vital technique in the toolbox of machine learning practitioners. It mitigates overfitting and variance in predictive models by leveraging resampling.

To enhance our machine learning model’s accuracy in identifying patients at high risk of CSDH recurrence, we utilized the synthetic minority over-sampling technique (SMOTE) to counter imbalanced data.

The researchers from Google Deepmind have proposed a machine learning method that unifies Consistency Models and TRACT to narrow the performance gap between standard diffusion models and low-step ...

In this paper, the selection of clustering number in K-means clustering algorithm is studied, based on the Bootstrap sampling, a new method is proposed to determine the best clustering number based on ...