Specially, the proposed generative classifier is modeled by a deep latent variable model where the latent variable aims to capture the direct cause of target label. Meanwhile, the latent variable is ...

As an example, a protein classification tool would operate on a discriminative model, while a protein generator would run on a generative AI model. Generative AI vs. Predictive AI Models ...

They plug the generative model into standard statistical formulas to directly construct a ... Scientists could also use this approach to solve different binary classification tasks in ...

With generative AI, a model can use existing patterns and generate new, synthetic samples which look like ‘real’ fraud samples, boosting the fraud signal for core fraud detection ML tools.

Generative model unveils secrets of material disorder. ScienceDaily . Retrieved June 2, 2025 from www.sciencedaily.com / releases / 2023 / 12 / 231204135222.htm ...

The existing classification methods usually suffer from the limitation of data especially the minority classes, and result in unstable prediction and low performance. In this paper, a deep generative ...