35 citations · 75 across the 10 of their papers we have counts for
9 papers · 1 filter
On the Learning with Augmented Class via Forests
Fan Xu, Wuyang Chen, Wei Gao
Decision trees and forests have achieved successes in various real applications, most working with all testing classes known in training data. In this work, we focus on learning wi…
On the Optimization of Margin Distribution
Meng-Zhang Qian, Zheng Ai, Teng Zhang +1
Margin has played an important role on the design and analysis of learning algorithms during the past years, mostly working with the maximization of the minimum margin. Recent year…
Towards Understanding Theoretical Advantages of Complex-Reaction Networks
Shao-Qun Zhang, Wei Gao, Zhi-Hua Zhou
Complex-valued neural networks have attracted increasing attention in recent years, while it remains open on the advantages of complex-valued neural networks in comparison with rea…
Effects of the optimisation of the margin distribution on generalisation in deep architectures
Lech Szymanski, Brendan McCane, Wei Gao +1
Despite being so vital to success of Support Vector Machines, the principle of separating margin maximisation is not used in deep learning. We show that minimisation of margin vari…
On the Resistance of Nearest Neighbor to Random Noisy Labels
Wei Gao, Bin-Bin Yang, Zhi-Hua Zhou
Nearest neighbor has always been one of the most appealing non-parametric approaches in machine learning, pattern recognition, computer vision, etc. Previous empirical studies part…
Fast Multi-Instance Multi-Label Learning
Sheng-Jun Huang, Zhi-Hua Zhou
In many real-world tasks, particularly those involving data objects with complicated semantics such as images and texts, one object can be represented by multiple instances and sim…
One-Pass AUC Optimization
Wei Gao, Rong Jin, Shenghuo Zhu +1
AUC is an important performance measure and many algorithms have been devoted to AUC optimization, mostly by minimizing a surrogate convex loss on a training data set. In this work…
On the Consistency of AUC Pairwise Optimization
Wei Gao, Zhi-Hua Zhou
AUC (area under ROC curve) is an important evaluation criterion, which has been popularly used in many learning tasks such as class-imbalance learning, cost-sensitive learning, lea…
On the Doubt about Margin Explanation of Boosting
Wei Gao, Zhi-Hua Zhou
Margin theory provides one of the most popular explanations to the success of \texttt{AdaBoost}, where the central point lies in the recognition that \textit{margin} is the key for…