Abstract: Fuzzy rough set approaches have received widespread attention across the disciplines of feature selection and rule extraction. When calculating the fuzzy degree of membership of a sample ...

INGLEWOOD, Calif. – Once upon a time – in high school, to be exact – current Rams defensive end Kobie Turner played tight end. He put that catching experience to good use last week with his first ...

Python’s new template strings, or t-strings, give you a much more powerful way to format data than the old-fashioned f-strings. The familiar formatted string, or f-string, feature in Python provides a ...

Abstract: Feature selection is challenging in high-dimensional and small-sample data, particularly in industrial informatics with diverse noise sources. The information entropy of feature noise is ...

dataclr is a Python library for feature selection, enabling data scientists and ML engineers to identify optimal features from tabular datasets. By combining filter and wrapper methods, it achieves ...

ABSTRACT: In agriculture sector, machine learning has been widely used by researchers for crop yield prediction. However, it is quite difficult to identify the most critical features from a dataset.

A set of notebooks that leverage classical ML algorithms and DL neural nets using TF, Keras and Theano to address a series of issues in the field of conservation and biology.