Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper
Query: Boosting Algorithms: Regularization, Prediction and Model Fitting
Boosting ridge regression
Active Learning with Model Selection in Linear Regression
Additive Logistic Regression: a Statistical View of Boosting
Functional Frank-Wolfe Boosting for General Loss Functions
Regularization methods for neural networks and related models
Boosting as a Regularized Path to a Maximum Margin Classifier
OR Forum - An Algorithmic Approach to Linear Regression
Experiments with AdaBoost.RT, an Improved Boosting Scheme for Regression
Coordinate descent algorithms for lasso penalized regression
Ridge regression: biased estimation for nonorthogonal problems
Gradient Boosting With Piece-Wise Linear Regression Trees
Many regression algorithms, one unified model: A review
Online regularized learning with pairwise loss functions
Efficient Computation and Model Selection for the Support Vector Regression
Logistic regression, adaboost and bregman distances
Boosting Algorithms as Gradient Descent
Bundle methods for regularized risk minimization
Shrink Globally, Act Locally: Sparse Bayesian Regularization and Prediction
Multiclass Boosting: Theory and Algorithms
A working guide to boosted regression trees
Greedy Function Approximation: A Gradient Boosting Machine
Governance on the Drug Supply Chain via Gcoin Blockchain
Modelling issues for tall reinforced concrete core wall buildings
Efficient Permission-Aware Analysis of Android Apps
Past, present, and future of decision support technology