53 citations · 59 across the 4 of their papers we have counts for
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Dynamic Exploration-Exploitation Trade-Off in Active Learning Regression with Bayesian Hierarchical Modeling
Upala Junaida Islam, Kamran Paynabar, George Runger +1
Active learning provides a framework to adaptively query the most informative experiments towards learning an unknown black-box function. Various approaches of active learning have…
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…
Gene selection with guided regularized random forest
Houtao Deng, George Runger
The regularized random forest (RRF) was recently proposed for feature selection by building only one ensemble. In RRF the features are evaluated on a part of the training data at e…
Feature Selection via Regularized Trees
Houtao Deng, George Runger
We propose a tree regularization framework, which enables many tree models to perform feature selection efficiently. The key idea of the regularization framework is to penalize sel…