An algorithm which incorporates this type of filter along with a sophisticated 2D interpolation technique is constructed to automate the filtering process. An adaptive 2D filtering technique that can ...

In Streamlit app, I ended this problem & let users train a custom polynomial regression model with one or more features. Users can enter feature names and values, train the model with a specified bias ...

Starting from two mutually alternative definitions of Hermite polynomials, we derive new relations between these polynomials for arbitrarily stretched arguments. Furthermore, some operational ...

ABSTRACT: Starting from two mutually alternative definitions of Hermite polynomials, we derive new relations between these polynomials for arbitrarily stretched arguments. Furthermore, some ...

In a range of experiments over a domestic lawn and in a lounge room, we demonstrate that the proposed approach enables 2D localization at night, and analyse the effect on performance of varying ...

Dataset loaded: 2500 samples, 12 features. Classification problem with 2 categories, comparison between the highly optimized Sk-Learn SVM implementation and my custom implementation with a 10-fold ...