275 citations · 642 across the 23 of their papers we have counts for
Showing 2019Show all
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cs.LG2019★ 127 cited
Classifier Chains: A Review and Perspectives
Jesse Read, Bernhard Pfahringer, Geoff Holmes +1
The family of methods collectively known as classifier chains has become a popular approach to multi-label learning problems. This approach involves linking together off-the-shelf…
stat.ML2019★ 2 cited
Stochastic Gradient Trees
Henry Gouk, Bernhard Pfahringer, Eibe Frank
We present an algorithm for learning decision trees using stochastic gradient information as the source of supervision. In contrast to previous approaches to gradient-based tree le…