Active learning represents a transformative paradigm in machine learning, aimed at reducing the annotation burden by selectively querying the most informative data points. This approach leverages ...
Q: What main themes of your chapter would you like readers to take away and bring back to their institutions and organizations? A: In my chapter, I ask whether the experience of the pandemic will help ...
Systems controlled by next-generation computing algorithms could give rise to better and more efficient machine learning products, a new study suggests. Systems controlled by next-generation computing ...
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