Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper
Query: On cross-validation and stacking: building seemingly predictive models on random data
A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection
Random forests
Stacking Bagged and Boosted Forests for Effective Automated Classification
Estimation Stability with Cross Validation (ESCV)
Comparison of bagging, boosting and stacking ensembles applied to real estate appraisal
Cross Validation Framework to Choose Amongst Models and Datasets for Transfer Learning
Fast Cross-Validation for Incremental Learning
PaloBoost: An Overfitting-robust TreeBoost with Out-of-Bag Sample Regularization Techniques
On-line Random Forests
Analysis of a Random Forests Model
Online bagging and boosting
A better measure of relative prediction accuracy for model selection and model estimation
SAS-2017 Stacked Ensemble Models for Improved Prediction Accuracy
Apples-to-apples in cross-validation studies: pitfalls in classifier performance measurement
Ensemble of Data-Driven Prognostic Algorithms With Weight Optimization and K-Fold Cross Validation
Neural Network Ensembles, Cross Validation, and Active Learning
Approximating prediction uncertainty for random forest regression models
A Partition-Based Framework for Building and Validating Regression Models
A bias correction for the minimum error rate in cross-validation
Decision Trees for Predictive Modeling
Areas of Attention for Image Captioning
MonoPerfCap: Human Performance Capture From Monocular Video
Effects of a ketogenic diet on hippocampal plasticity in freely moving juvenile rats
The WEKA data mining software: an update
Intelligent Indoor Mobile Robot Navigation Using Stereo Vision