4 citations · 13 across the 8 of their papers we have counts for
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cs.LG2020
Distributed Online Learning with Multiple Kernels
Jeongmin Chae, Songnam Hong
In the Internet-of-Things (IoT) systems, there are plenty of informative data provided by a massive number of IoT devices (e.g., sensors). Learning a function from such data is of…
cs.LG2020★ 1 cited
Pool-based sequential active learning with multi kernels
Jeongmin Chae, Songnam Hong
We study a pool-based sequential active learning (AL), in which one sample is queried at each time from a large pool of unlabeled data according to a selection criterion. For this…
cs.LG2020★ 4 cited
Active Learning with Multiple Kernels
Songnam Hong, Jeongmin Chae
Online multiple kernel learning (OMKL) has provided an attractive performance in nonlinear function learning tasks. Leveraging a random feature approximation, the major drawback of…