Abstract: Non-exemplar class-incremental learning refers to continual classifying of new and old classes without storing samples of old classes. Since only new class samples are available, ...

PyCM is a multi-class confusion matrix library written in Python that supports both input data vectors and direct matrix, and a proper tool for post-classification model evaluation that supports most ...

Introductory text for Kalman and Bayesian filters. All code is written in Python, and the book itself is written using Jupyter Notebook so that you can run and modify the code in your browser. What ...

Abstract: This study proposes a general multi-class hierarchical random network with an arbitrary number of agents and an arbitrary connecting success probability to analyze the minimum communication ...

RANDOM LAKE, Wis. - Anabelle Bagley, a senior from Random Lake High School, is involved in so many school activities, from plays to physics. But a class that most schools do not offer has allowed her ...

This article is written by a student writer from the Her Campus at Wisconsin chapter and does not reflect the views of Her Campus. The experience that helped me transition into my first semester of ...