Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper
Query: Interpreting random forest models using a feature contribution method
Random forests
Optimal Action Extraction for Random Forests and Boosted Trees
Neural Random Forests
Decision tree ensembles based on kernel features
ReForeSt: Random Forests in Apache Spark
Learning Kernels with Random Features
Interpretable Distribution Features with Maximum Testing Power
FeatureMiner: A Tool for Interactive Feature Selection
Objective reduction using a feature selection technique
Decision Trees for Predictive Modeling
Robust prediction of fault-proneness by random forests
Learning Decision Trees Using the Area Under the ROC Curve
Decision trees: a recent overview
How many trees in a random forest
Abstract Features in Feature Modeling
Predicting disease risks from highly imbalanced data using random forest
A review of feature selection methods with applications
Disambiguating authors in academic publications using random forests
Practical Feature Subset Selection for Machine Learning
PaloBoost: An Overfitting-robust TreeBoost with Out-of-Bag Sample Regularization Techniques
Study on the feasibility of LoRaWAN for smart city applications
The effect of shallow segmentation on English-Tigrinya statistical machine translation
Reliability of E/D PHEMT process for control circuit applications
Structural Induction in Programming Language Semantics A Note for C S 386L Students
Boosting in the Limit: Maximizing the Margin of Learned Ensembles