Abstract: Accurate system identification is crucial for model-based control, planning, and algorithm training. Although numerous robotic model structures have been established, the specific parameter ...

Over the past several years, the lion’s share of artificial intelligence (AI) investment has poured into training infrastructure—massive clusters designed to crunch through oceans of data, where speed ...

Abstract: This paper proposed an approximate model for the global power spectral density (PSD) of primary users (PUs). Based on the proposed model, a novel cooperative spectrum sensing algorithm was ...

Accurate disaster prediction combined with reliable uncertainty quantification is crucial for timely and effective decision-making in emergency management. However, traditional deep learning methods ...

ABSTRACT: In this paper, we investigate the convergence of the generalized Bregman alternating direction method of multipliers (ADMM) for solving nonconvex separable problems with linear constraints.

Key Laboratory of Theoretical and Computational Photochemistry, Ministry of Education, College of Chemistry, Beijing Normal University, Beijing 100875, People’s Republic of China ...

Why should this notebook be added to pymc-examples? As the existing Pathfinder example notebook is really out-of-date, I propose replacement notebook to demo the new features from Pathfinder ...