Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper
Query: An experimental comparison of three methods for constructing ensembles of decision trees: Bagging, Boosting, and Randomization
Bagging, Boosting, and C4.5
Understanding variable importances in forests of randomized trees
Communication efficient construction of decision trees over heterogeneously distributed data
An Improved Algorithm for Incremental Induction of Decision Trees
Comparison of bagging, boosting and stacking ensembles applied to real estate appraisal
A working guide to boosted regression trees
Decision trees and forests : a probabilistic perspective
An introduction to recursive partitioning: Rationale, application, and characteristics of classification and regression trees, bagging, and random forests.
Efficient non-greedy optimization of decision trees
The Effects of Training Set Size on Decision Tree Complexity
Induction of One-Level Decision Trees
Reinforced random forest
Extending Bagging for Imbalanced Data
Decision trees: a recent overview
On-line Random Forests
Decision Trees: Theory and Algorithms.
Learning Decision Trees for Unbalanced Data
Evasion and Hardening of Tree Ensemble Classifiers
Random Forests for Big Data
Building Decision Trees for the Multi-class Imbalance Problem
Buffer Overflow and Format String Overflow Vulnerabilities
Unsupervised approach for object matching using Speeded Up Robust Features
Polymer-Waveguide-Based Board-Level Optical Interconnect Technology for Datacom Applications
Classification and Regression Trees
Active Learning in Collaborative Filtering Recommender Systems