|
6698
|
Statistical Learning Theory
– V N Vapnik
- 1998
|
|
509
|
Transductive Inference for Text Classification using Support Vector Machines
– Thorsten Joachims
- 1999
|
|
197
|
Manifold regularization: A geometric framework for learning from examples
– Mikhail Belkin, Partha Niyogi, Vikas Sindhwani, Peter Bartlett
- 2004
|
|
89
|
Semi-Supervised Classification by Low Density Separation
– Olivier Chapelle, Alexander Zien
- 2005
|
|
146
|
Semi-supervised support vector machines
– Kristin P. Bennett, Ayhan Demiriz
- 1998
|
|
325
|
Semi-Supervised Learning Using Gaussian Fields and Harmonic Functions
– Xiaojin Zhu , Zoubin Ghahramani, John Lafferty
- 2003
|
|
268
|
Semi-Supervised Learning Literature Survey
– Xiaojin Zhu
- 2006
|
|
171
|
Semi-Supervised Learning
– Olivier Chapelle, Bernhard Schlkopf, Alexander Zien
- 2006
|
|
152
|
Transductive Learning via Spectral Graph Partitioning
– Thorsten Joachims
- 2003
|
|
120
|
Cluster Kernels for Semi-Supervised Learning
– Olivier Chapelle, Jason Weston, Bernhard Schölkopf
|
|
946
|
Combining labeled and unlabeled data with co-training
– Avrim Blum, Tom Mitchell
- 1998
|
|
286
|
Learning with local and global consistency
– Dengyong Zhou, Olivier Bousquet, Thomas Navin Lal, Jason Weston, Bernhard Schölkopf
- 2004
|
|
38
|
Large scale transductive svms
– Ronan Collobert, Fabian Sinz, Jason Weston, Léon Bottou, Thorsten Joachims
|
|
1512
|
Online Learning with Kernels
– Jyrki Kivinen, Alexander J. Smola, Robert C. Williamson
- 2003
|
|
16
|
Deterministic annealing for semi-supervised kernel machines
– Vikas Sindhwani, S. Sathiya Keerthi, Olivier Chapelle
- 2006
|
|
756
|
On Spectral Clustering: Analysis and an algorithm
– Andrew Y. Ng, Michael I. Jordan, Yair Weiss
- 2001
|
|
519
|
Laplacian Eigenmaps for Dimensionality Reduction and Data Representation
– Mikhail Belkin, Partha Niyogi
- 2003
|
|
1229
|
A Global Geometric Framework for Nonlinear Dimensionality Reduction
– Joshua B Tenenbaum, Vin de Silva, John C Langford
|
|
76
|
Regularization and semi-supervised learning on large graphs
– Mikhail Belkin, Irina Matveeva, Partha Niyogi
- 2004
|