SVR, a core component of the machine learning algorithms, provides powerful predictive capabilities by capturing nonlinear relationships in the feature space of the technical model.

If you rotate an image of a molecular structure, a human can tell the rotated image is still the same molecule, but a machine ...

New machine learning algorithm promises advances in computing Digital twin models may enhance future autonomous systems Date: May 9, 2024 Source: Ohio State University Summary: Systems controlled ...

In recent years, machine learning (ML) algorithms have proved themselves to be remarkably useful in helping people deal with different tasks: data classification and clustering, pattern revealing ...

Multi-target quantum compilation algorithm. Machine Learning: Science and Technology, 2024; 5 (4): 045057 DOI: 10.1088/2632-2153/ad9705 ...

Amid a growing number of studies suggesting links between ultra-processed food (UPF) and health risks, the degree to which food is processed is well and truly in the spotlight. Most categorise degree ...

SVR, a core component of the machine learning algorithms, provides powerful predictive capabilities by capturing nonlinear relationships in the feature space of the technical model. The hybrid input ...