Abstract: Existing loss minimization control (LMC) methods for linear induction machine still suffer from poor parameter robustness and limited effect on system loss suppression. To solve these issues ...

Linear Trees combine the learning ability of Decision Tree with the predictive and explicative power of Linear Models. Like in tree-based algorithms, the data are split according to simple decision ...

Martin has over three decades of experience representing clients in complex and high-stakes commercial litigation. He has extensive knowledge concerning e-discovery, information governance, and data ...

When it comes to data collection, the ad tech industry has long had a hoarder mentality. Gather up as much data as you can from as many sources as possible, store it indefinitely, and if you’re not ...

Jeremy has more than 2300 published articles on Collider to his name, and has been writing for the site since February 2022. He's an omnivore when it comes to his movie-watching diet, so will gladly ...

The California Consumer Privacy Act of 2018 as initially adopted (or subsequently amended until 2020) did not contain the principle of data minimization. A ...

Collecting data allows businesses to glean essential information for improving processes, reducing costs, better serving customers and more. However, it also comes with risk: Every organization that ...

Python is the first programming language to climb to an 18% rating since Java, which rated 18% nearly eight years ago. Python has scored its highest rating ever, 18.04%, in Tiobe’s index of ...

Why do we minimize something remarkable as if it is not worthy of praise or discussion? In this post, we’ll define minimizing, discuss why we minimize our experiences and events, and explore what we ...

Data minimization — a longstanding bedrock principle of privacy and data protection — has quietly become one of the most contentious issues in U.S. legislative privacy proposals. Policymakers have ...