5 citations · 10 across the 2 of their papers we have counts for
3 papers
cs.LG2016
Greedy Criterion in Orthogonal Greedy Learning
Lin Xu, Shaobo Lin, Jinshan Zeng +2
Orthogonal greedy learning (OGL) is a stepwise learning scheme that starts with selecting a new atom from a specified dictionary via the steepest gradient descent (SGD) and then bu…
cs.IR2015★ 5 cited
Re-scale AdaBoost for Attack Detection in Collaborative Filtering Recommender Systems
Zhihai Yang, Lin Xu, Zhongmin Cai
Collaborative filtering recommender systems (CFRSs) are the key components of successful e-commerce systems. Actually, CFRSs are highly vulnerable to attacks since its openness. Ho…
cs.LG2015★ 5 cited
Re-scale boosting for regression and classification
Shaobo Lin, Yao Wang, Lin Xu
Boosting is a learning scheme that combines weak prediction rules to produce a strong composite estimator, with the underlying intuition that one can obtain accurate prediction rul…