61 citations · 167 across the 6 of their papers we have counts for
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cs.LG2013★ 61 cited
Guided Random Forest in the RRF Package
Houtao Deng
Random Forest (RF) is a powerful supervised learner and has been popularly used in many applications such as bioinformatics. In this work we propose the guided random forest (GRF)…
cs.LG2013★ 4 cited
A Time Series Forest for Classification and Feature Extraction
Houtao Deng, George Runger, Eugene Tuv +1
We propose a tree ensemble method, referred to as time series forest (TSF), for time series classification. TSF employs a combination of the entropy gain and a distance measure, re…