To fully utilize the popular science value of the aforementioned high-end resources, the school has explored a construction mode for the popular science base that integrates “Resource Sharing, ...
Insights into what happens to corporate learning when AI and performance pressure collide with an L&D function still built ...
Abstract: Semi-Supervised Partial Label Learning (SSPLL) is an important branch of weakly supervised learning, where the data consists of both partial label examples and unlabeled ones. In SSPLL, the ...
The lack of gains in productivity from AI could stall adoption and burst the economic bubble. Is there a rational explanation ...
For decades, learning and development (L&D) has been the engine that helps organizations build skills, strengthen leadership ...
Abstract: Evaluating an Information Retrieval (IR) model is a multi-faceted process that requires selecting the right quantitative metrics to assess performance. The selection of evaluation metrics in ...
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