Tasks enabled by data contribution estimation (DCE) aid model improvement through data improvement. While benchmark DCE evaluation tasks show application across many ML domains, DCE has limited ...

Abstract: Data stream learning is an emerging machine learning paradigm designed for environments where data arrive continuously and must be processed in real time. Unlike traditional batch learning, ...

Jupyter notebooks covering a wide range of functions and operations on the topics of NumPy, Pandans, Seaborn, Matplotlib etc. Decision trees and Random Forest Classification (Here is the Notebook) ...

Wendy Ives shows ciLiving host, Jaclyn Friedlander the process of silk screening on ceramics. Silk screen printing on ceramics is a versatile technique that allows artists to apply clean, detailed ...

Abstract: Sharing intellectual property (IP) blocks in today's competitive market poses significant high security risks. In this paper, we present a tutorial for a watermarking approach based on the ...

Investopedia contributors come from a range of backgrounds, and over 25 years there have been thousands of expert writers and editors who have contributed. Gordon Scott has been an active investor and ...