404 citations · 424 across the 9 of their papers we have counts for
Showing cs.LGShow all
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cs.LG2018★ 5 cited
Hiding in the Crowd: A Massively Distributed Algorithm for Private Averaging with Malicious Adversaries
Pierre Dellenbach, Aurélien Bellet, Jan Ramon
The amount of personal data collected in our everyday interactions with connected devices offers great opportunities for innovative services fueled by machine learning, as well as…
cs.LG2013★ 3 cited
Learning from networked examples in a k-partite graph
Yuyi Wang, Jan Ramon, Zheng-Chu Guo
Many machine learning algorithms are based on the assumption that training examples are drawn independently. However, this assumption does not hold anymore when learning from a net…
cs.LG2000★ 404 cited
Top-down induction of clustering trees
Hendrik Blockeel, Luc De Raedt, Jan Ramon
An approach to clustering is presented that adapts the basic top-down induction of decision trees method towards clustering. To this aim, it employs the principles of instance base…