Abstract: Sparse Bayesian learning (SBL) is an algorithm for high-dimensional data processing based on Bayesian statistical theory. Its goal is to improve the generalization ability and efficiency of ...
NEW YORK, NY / ACCESS Newswire / December 16, 2025 / Every market cycle introduces a new category of assets that feels almost inevitable in hindsight. Sometimes it is a technological leap. Sometimes ...
Abstract: The article develops a novel motion model, called generalized multispeed Dubins motion model (GMDM), which extends the Dubins model by considering multiple speeds. While the Dubins model ...