The rendezvous algorithm: multiclass semi-supervised learning with Markov random walks
暂无分享,去创建一个
[1] Xiaojin Zhu,et al. Semi-Supervised Learning Literature Survey , 2005 .
[2] Jason Weston,et al. Semi-supervised Protein Classification Using Cluster Kernels , 2003, NIPS.
[3] Alexander Zien,et al. Label Propagation and Quadratic Criterion , 2006 .
[4] Zoubin Ghahramani,et al. Nonparametric Transforms of Graph Kernels for Semi-Supervised Learning , 2004, NIPS.
[5] Thorsten Joachims,et al. Transductive Inference for Text Classification using Support Vector Machines , 1999, ICML.
[6] Jianbo Shi,et al. A Random Walks View of Spectral Segmentation , 2001, AISTATS.
[7] Bernhard Schölkopf,et al. Learning from Labeled and Unlabeled Data Using Random Walks , 2004, DAGM-Symposium.
[8] Kilian Q. Weinberger,et al. Unsupervised Learning of Image Manifolds by Semidefinite Programming , 2004, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..
[9] Zoubin Ghahramani,et al. Combining active learning and semi-supervised learning using Gaussian fields and harmonic functions , 2003, ICML 2003.
[10] Alexander Zien,et al. Semi-Supervised Learning , 2006 .
[11] Jitendra Malik,et al. Normalized cuts and image segmentation , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[12] Tommi S. Jaakkola,et al. Partially labeled classification with Markov random walks , 2001, NIPS.
[13] John C. Platt,et al. Semi-Supervised Learning with Conditional Harmonic Mixing , 2006, Semi-Supervised Learning.
[14] Jason Weston,et al. Semi-supervised Protein Classification Using Cluster Kernels , 2003, NIPS.
[15] Zoubin Ghahramani,et al. Spectral Methods for Automatic Multiscale Data Clustering , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[16] Thorsten Joachims,et al. Transductive Learning via Spectral Graph Partitioning , 2003, ICML.
[17] Mikhail Belkin,et al. Laplacian Eigenmaps for Dimensionality Reduction and Data Representation , 2003, Neural Computation.
[18] L. Rosasco,et al. Manifold Regularization , 2007 .
[19] Alexander Zien,et al. Semi-Supervised Classification by Low Density Separation , 2005, AISTATS.