Abstract: Exploiting label correlations is important to multi-label classification. Previous methods capture the high-order label correlations mainly by transforming the label matrix to a latent label ...

Abstract: The 12-lead electrocardiogram (ECG) is a common method used to diagnose cardiovascular diseases. Recently, ECG classification using deep neural networks has been more accurate and efficient ...

[2] Structured Matrix Scaling for Multi-Class Calibration (see also: experiments) [3] A Variational Estimator for Lp Calibration Errors (see also all experiments) [4 ...

A comparison of eight AI-powered requirements management platforms for 2026, from NLP-based quality analysis and automated test generation to live traceability scoring, covering Jama Connect, IBM ...

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Analysis of data across many different studies shows that children's word recognition improves continuously from infancy through age 5 years, and shows strong coupling with early vocabulary.

Autonomous AI post-training reached frontier scale for the first time: NVIDIA researchers published a paper showing an AI ...

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Think a higher thread count means better sheets? Sleep experts explain why weave, fiber quality, and materials matter far ...