Error bounds of multi-graph regularized semi-supervised classification
暂无分享,去创建一个
[1] Yiming Ying,et al. Multi-kernel regularized classifiers , 2007, J. Complex..
[2] Nello Cristianini,et al. Learning the Kernel Matrix with Semidefinite Programming , 2002, J. Mach. Learn. Res..
[3] Felipe Cucker,et al. Learning Theory: An Approximation Theory Viewpoint (Cambridge Monographs on Applied & Computational Mathematics) , 2007 .
[4] Chi-Hoon Lee,et al. Clustering high dimensional data: A graph-based relaxed optimization approach , 2008, Inf. Sci..
[5] Vladimir Vapnik,et al. Statistical learning theory , 1998 .
[6] Cory J. Butz,et al. Rough set based 1-v-1 and 1-v-r approaches to support vector machine multi-classification , 2007, Inf. Sci..
[7] Avrim Blum,et al. The Bottleneck , 2021, Monopsony Capitalism.
[8] N. Aronszajn. Theory of Reproducing Kernels. , 1950 .
[9] Ran El-Yaniv,et al. Stable Transductive Learning , 2006, COLT.
[10] Irena Koprinska,et al. Learning to classify e-mail , 2007, Inf. Sci..
[11] Felipe Cucker,et al. Learning Theory: An Approximation Theory Viewpoint: Index , 2007 .
[12] Catherine Blake,et al. UCI Repository of machine learning databases , 1998 .
[13] Peter L. Bartlett,et al. Rademacher and Gaussian Complexities: Risk Bounds and Structural Results , 2003, J. Mach. Learn. Res..
[14] J. Siemons. Surveys in combinatorics, 1989 , 1989 .
[15] Mikhail Belkin,et al. Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabeled Examples , 2006, J. Mach. Learn. Res..
[16] Felipe Cucker,et al. On the mathematical foundations of learning , 2001 .
[17] Larry Wasserman,et al. Challenges in Statistical Machine Learning , 2006 .
[18] Charles A. Micchelli,et al. Learning the Kernel Function via Regularization , 2005, J. Mach. Learn. Res..
[19] Tong Zhang,et al. Graph-Based Semi-Supervised Learning and Spectral Kernel Design , 2008, IEEE Transactions on Information Theory.
[20] Mikhail Belkin,et al. Regularization and Semi-supervised Learning on Large Graphs , 2004, COLT.
[21] Tong Zhang,et al. On the Effectiveness of Laplacian Normalization for Graph Semi-supervised Learning , 2007, J. Mach. Learn. Res..
[22] Mikhail Belkin,et al. Semi-Supervised Learning on Riemannian Manifolds , 2004, Machine Learning.
[23] Fan Chung,et al. Spectral Graph Theory , 1996 .
[24] Yiming Ying,et al. Support Vector Machine Soft Margin Classifiers: Error Analysis , 2004, J. Mach. Learn. Res..
[25] Xiaojin Zhu,et al. --1 CONTENTS , 2006 .