Leveraging Elastic Demand for Forecasting

no code implementations • 9 Sep 2018 • Houtao Deng, Ganesh Krishnan, Ji Chen, Dong Liang

Demand variance can result in a mismatch between planned supply and actual demand.

Interpreting Tree Ensembles with inTrees

1 code implementation • 23 Aug 2014 • Houtao Deng

Tree ensembles such as random forests and boosted trees are accurate but difficult to understand, debug and deploy.

Future prediction General Classification +1

Guided Random Forest in the RRF Package

no code implementations • 2 Jun 2013 • Houtao Deng

Note in this work the guided random forest is guided by the importance scores from an ordinary random forest, however, it can also be guided by other methods such as human insights (by specifying $\lambda_i$).

feature selection

Gene selection with guided regularized random forest

no code implementations • 28 Sep 2012 • Houtao Deng, George Runger

In RRF the features are evaluated on a part of the training data at each tree node.

feature selection