Identifying meaningful feature interactions is a central challenge in building accurate and interpretable models for tabular data. Generalized additive models (GAMs) have shown great success at ...

Abstract: Spectrum sensing in cognitive radio presents a challenge in overcoming the spectrum scarcity caused by the rapid growth of wireless devices. Deep learning (DL) and machine learning (ML) are ...

GSPN recommends setting up a conda environment and installing dependencies via pip. Use the following commands to set up your environment: GSPN is a general-purpose parallel sequence modeling ...

Among various vertical coordinate systems, the sigma coordinate—a terrain-following approach fitted to seabed topography—has been most widely used in coastal and continental shelf seas. However, it ...

Abstract: Generalized additive models (GAMs) have been successfully applied to high dimensional data. However, most existing methods cannot capture the high level feature patterns from complex data.

Interpretability has drawn increasing attention in machine learning. Partially linear additive models provide an attractive middle ground between the simplicity of generalized linear model and the ...

Generalized Additive Model (GAM) is a standard for interpretability. However, due to the one-to-many and many-to-one phenomena which appear commonly in real-world scenarios, existing GAMs have ...

Oncology drug efficacy is evaluated in mouse models by continuously monitoring tumor volumes, which can be mathematically described by growth kinetic models. Although past studies have investigated ...

School of Science, Technology, Engineering, and Mathematics, University of Washington, Bothell, Washington 98011, United States Department of Atmospheric Sciences, University of Washington, Seattle, ...