Instruct: Given a paper title, retrieve paper titles that are cited by the given paper.
Query: Experiments with a New Boosting Algorithm
Boosting and Other Ensemble Methods
Adapting boosting for information retrieval measures
Support Vector Machine Ensemble with Bagging
Gradient boosting machines, a tutorial
New Support Vector Algorithms
Stochastic gradient boosted distributed decision trees
Multiclass learning, boosting, and error-correcting codes
The Kernel-Adatron Algorithm: a Fast and Simple Learning Procedure for Support Vector Machines
Improved Stochastic Gradient Descent Algorithm for SVM
LightGBM: a highly efficient gradient boosting decision tree
A Fast Decision Tree Learning Algorithm
Boosting in the Limit: Maximizing the Margin of Learned Ensembles
RHSBoost: Improving classification performance in imbalance data
Feature selection for ranking using boosted trees
Finding Influential Training Samples for Gradient Boosted Decision Trees
Regularized Boost for Semi-Supervised Learning
Privacy-Preserving Boosting with Random Linear Classifiers for Learning from User-Generated Data
Roughly Balanced Bagging for Imbalanced Data
Boosting for Regression Transfer
Boosting SVM classifiers by ensemble
Multimodal feature fusion for CNN-based gait recognition: an empirical comparison
American Indian and Alaska Native Mental Health : Diverse Perspectives on Enduring Disparities
When Networks Disagree: Ensemble Methods for Hybrid Neural Networks
High-performance groundless EEG/ECG capacitive electrodes
Developing a Context-Based Performance Measure for Persons With Schizophrenia: The Test of Grocery Shopping Skills