Nature

The impact of Bayesian optimization on feature selection

Feature selection is an indispensable step for the analysis of high-dimensional molecular data. Despite its importance, consensus is lacking on how to choose the most appropriate feature selection ...
Nature

Bio-inspired feature selection for early diagnosis of Parkinson’s disease through optimization of deep 3D nested learning

Parkinson’s disease (PD) is the second most common neurological illness that affects older people. Clinicians typically observe various symptoms, which include motor and non-motor signs such as ...
TMCnet

WiMi Explores Multi-Dimensional Pooling Optimization Technology under the Variational Quantum Algorithm Framework

WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, is exploring multi-dimensional pooling optimization ...
Western Michigan University

Optimization, Data, and Decision Science Lab

The Optimization, Data, and Decision Science (ODDS) Lab, established in late 2023 under the leadership of Dr. Ilgin Acar, represents a dynamic hub for cutting-edge research at the intersection of ...