IEEE

Improving Arabic Multi-Label Emotion Classification using Stacked Embeddings and Hybrid Loss Function

Abstract: Multi-label emotion classification (MLEC) for low-resource languages like Arabic faces significant challenges due to class imbalance and label correlations, particularly in accurately ...
IEEE

IA-KNNR: A Novel Imbalance-Aware Approach for Handling Multi-Label Class Imbalance Problem

Abstract: Multi-label learning (MLL) is a supervised learning where the classifier needs to learn from the data where one instance can belong to more than one class (label). Due to its wide ...
CNBC

Meta expands Nvidia deal to use millions of AI chips in data center build-out, including standalone CPUs

Meta struck a massive chip deal with Nvidia that includes new standalone CPUs and next-generation GPUs and Vera Rubin rack-scale systems. The social media giant will also use Nvidia for networking ...
The Motley Fool

How Much Income Puts You in the Upper, Middle, or Lower Class?

One thing this table hides is how wide the top tier really is. The top 5% bring in roughly $295,000 or more. At that point, income differences stop being gradual and start compounding quickly. It also ...