The financial crime compliance industry has spent two decades building better detection. Transaction monitoring rules have ...

For those unafraid of equations, What Are the Odds? is a practical, insightful guide to thinking like a statistician.

Abstract: Diverse inverse problems in imaging can be cast as variational problems composed of a task-specific data fidelity term and a regularization term. In this paper, we propose a novel learnable ...

GameRant interviews Scott Pilgrim EX creative consultant BenDavid Grabinski about the game's "canon problem" and why it ...

Abstract: To improve the performance of deep learning, it is required to comprehend the benefits and drawbacks of activation functions as they engage in a significant part in the neural networks.