Abstract: In expensive multitask optimization problems (ExMTOPs), multiple complex tasks must be optimized simultaneously under limited computational budgets. Existing approaches, often based on ...

North America held a dominant market position, capturing more than a 36.1% share, holding USD 28.38 billion in revenue.

These open-source MMM tools solve different measurement problems, from budget optimization to forecasting and preprocessing.

Financial advisers often urge clients to delay Social Security to maximize benefits, but new research suggests early claiming ...

Abstract: While generative large language models exhibit robust capabilities in multi-task scenarios, they struggle with fine-grained semantic understanding tasks, particularly for languages lacking ...