When working with production data science code it can be handy to have plotting tool that does not rely on graphics dependencies or works only in a Jupyter notebook. The use case that this was built ...

The proposed approach integrates model predictive control with traditional rigid graph-based methods, effectively avoiding issues such as control jumps and thrust saturation while enhancing robustness ...

As a traditional kernel clustering algorithm, multiple kernel k-means (MKKM ... To this end, we propose a novel smooth MKKM via underlying graph filtering (SMKKM-UGF) to learn the smooth ...