275 citations · 551 across the 32 of their papers we have counts for
3 papers · 1 filter
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…
Automatic end-to-end De-identification: Is high accuracy the only metric?
Vithya Yogarajan, Bernhard Pfahringer, Michael Mayo
De-identification of electronic health records (EHR) is a vital step towards advancing health informatics research and maximising the use of available data. It is a two-step proces…
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…