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 ...

Review re-maps multi-view learning into four supervised scenarios and three granular sub-tiers, delivering the first unified ...

Anti-forgetting representation learning method reduces the weight aggregation interference on model memory and augments the ...

As a fundamental technology of artificial intelligence, existing machine learning (ML) methods often rely on extensive human intervention and manually presetting, like manually collecting, selecting, ...

According to the U.S. Bureau of Labor Statistics, there are more than 10.1 million unfilled jobs, with just 5.5 million job seekers on the hunt, as of writing this article. This means there are more ...

Teaching methods are the broader techniques used to help students achieve learning outcomes, while activities are the different ways of implementing these methods. Teaching methods help students: ...