Generalization performance of graph-based semi-supervised classification
From MaRDI portal
Publication:1047879
DOI10.1007/s11425-009-0190-8zbMath1183.68468OpenAlexW2260113618MaRDI QIDQ1047879
Publication date: 6 January 2010
Published in: Science in China. Series A (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s11425-009-0190-8
General nonlinear regression (62J02) Learning and adaptive systems in artificial intelligence (68T05)
Related Items
The convergence rates of Shannon sampling learning algorithms, ERROR ANALYSIS FOR THE SPARSE GRAPH-BASED SEMI-SUPERVISED CLASSIFICATION ALGORITHM
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Semi-supervised learning on Riemannian manifolds
- Error bounds of multi-graph regularized semi-supervised classification
- On the rate of convergence for multi-category classification based on convex losses
- Concentration inequalities and asymptotic results for ratio type empirical processes
- Learning rates of least-square regularized regression
- On the mathematical foundations of learning
- Learning Theory
- Capacity of reproducing kernel spaces in learning theory
- Graph-Based Semi-Supervised Learning and Spectral Kernel Design
- Learning Theory
- Stable Transductive Learning
- Theory of Reproducing Kernels
- New concentration inequalities in product spaces