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 ...

Older Adults can be Effective Learners Instead, the study suggests switching out the lecture format in favor of discussion, ...

Overview: Master deep learning with these 10 essential books blending math, code, and real-world AI applications for lasting ...

Kernel methods represent a cornerstone in modern machine learning, enabling algorithms to efficiently derive non-linear patterns by implicitly mapping data into high‐dimensional feature spaces. At the ...

When we talk about learning methods, most of us hark back to the days when we were either referred to as audio or visual learners, and that would be the end of the discussion. However, as more and ...

Traditional learning often relies on passive consumption, such as reading books, watching videos, or listening to podcasts. While these methods provide valuable information, they frequently lack ...

We obtain a Bernstein-type inequality for sums of Banach-valued random variables satisfying a weak dependence assumption of general type and under certain smoothness assumptions of the underlying ...