141 citations · 597 across the 22 of their papers we have counts for
Showing 2015Show all
3 papers · 1 filter
cs.LG2015★ 1 cited
Data Stream Classification using Random Feature Functions and Novel Method Combinations
Diego Marrón, Jesse Read, Albert Bifet +1
Big Data streams are being generated in a faster, bigger, and more commonplace. In this scenario, Hoeffding Trees are an established method for classification. Several extensions e…
stat.ML2015★ 7 cited
Multi-label Classification using Labels as Hidden Nodes
Jesse Read, Jaakko Hollmén
Competitive methods for multi-label classification typically invest in learning labels together. To do so in a beneficial way, analysis of label dependence is often seen as a funda…
stat.ML2015★ 84 cited
Scalable Multi-Output Label Prediction: From Classifier Chains to Classifier Trellises
J. Read, L. Martino, P. Olmos +1
Multi-output inference tasks, such as multi-label classification, have become increasingly important in recent years. A popular method for multi-label classification is classifier…