Z
Zhi-Hua Zhou
Researcher at Nanjing University
Publications - 633
Citations - 64307
Zhi-Hua Zhou is an academic researcher from Nanjing University. The author has contributed to research in topics: Semi-supervised learning & Artificial neural network. The author has an hindex of 102, co-authored 626 publications receiving 52850 citations. Previous affiliations of Zhi-Hua Zhou include Michigan State University & Tokyo Institute of Technology.
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Exploiting Unlabeled Data to Enhance Ensemble Diversity
Min-Ling Zhang,Zhi-Hua Zhou +1 more
TL;DR: Experimental results show that udeed can effectively utilize unlabeled data for ensemble learning via diversity augmentation, and is highly competitive to well-established semi-supervised ensemble methods.
Posted Content
Improved Dynamic Regret for Non-degenerate Functions
TL;DR: This article showed that the dynamic regret of strongly convex functions can be improved by allowing the learner to query the gradient of the function multiple times, and meanwhile the strong convexity can be weakened to other non-degenerate conditions.
Journal ArticleDOI
Introduction to the special issue on learning from multi-label data
TL;DR: Applications of multi-label learning extend beyond automated content annotation to tag recommendation (Song et al. 2011), query categorization (González-Caro and Baeza-Yates 2011), gene function prediction (Valentini 2011), medical diagnosis, medical diagnosis and direct marketing.
Proceedings ArticleDOI
Cost-sensitive face recognition
Yin Zhang,Zhi-Hua Zhou +1 more
TL;DR: This paper proposes a framework which formulates the problem as a multi-class cost-sensitive learning task, and proposes a theoretically sound method based on Bayes decision theory to solve this problem.
Journal ArticleDOI
FANNC: a fast adaptive neural network classifier
TL;DR: Benchmark tests show that FANNC is a preferable neural network classifier, which is superior to several other neural algorithms on both predictive accuracy and learning speed.