Abstract: Binary relevance (BR) is a well-known framework for multi-label classification. It decomposes multi-label classification into binary (one-vs-rest) classification subproblems, one for each ...

Abstract: Prompt-based learning has demonstrated remarkable success in few-shot text classification, outperforming the traditional fine-tuning approach. This method transforms a text input into a ...

These Australian climate classification maps and data are based on vegetation types, rainfall, and temperature and humidity. Select years, to see changes since 1951. Temperature and humidity maps are ...

The Energy MLP Classification Standard (EMCS) categorizes energy infrastructure companies based on their primary source of ...

Modern business intelligence demands speed, and utilizing AI tools for Excel is the ultimate way to hyper-charge your data workflows this year.

Most people who grab a drive-through meal give only a passing thought to what they're actually eating. The burger looks like ...

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If you’re planning to ride an electric bike in Mississippi, it’s important to understand the state’s e-bike laws before you ...

Lithium-ion batteries power a wide range of consumer, industrial, and energy applications, from vehicles and mobile devices ...

Agent frameworks weren’t designed to evaluate every agent action against policies and compliance requirements. We need a ...

Justice BV Nagarathna of the Supreme Court of India, speaking at the first Supreme Court Bar Association (SCBA) National ...