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In this article, a novel machine learning regression-based single-event transient (SET) modeling method is proposed. The proposed method can obtain a reasonable and accurate SET model without ...
In this letter, a real-time implementation of the logistic regression via variable splitting and augmented Lagrangian (LORSAL) algorithm for sparse multinomial logistic regression is presented on ...
Bilinear sequence regression model shows why AI excels at learning from word sequences - Tech Xplore
These insights could help scientists build models that are simpler, more efficient, and possibly more transparent. More information: Vittorio Erba et al, Bilinear Sequence Regression: A Model for ...
Mehta, C.R. and Patel, N.R. (1995) Exact Logistic Regression Theory and Examples. Statistics in Medicine, 14, 2143-2160.
Add this topic to your repo To associate your repository with the real-time-recurrent-learning topic, visit your repo's landing page and select "manage topics." Learn more ...
More information: Zhenghao Yin et al, Experimental quantum-enhanced kernel-based machine learning on a photonic processor, Nature Photonics (2025). DOI: 10.1038/s41566-025-01682-5 ...
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