Documents Related by Co-Citation

8950 The Nature of Statistical Learning Theory – Vladimir N. Vapnik - 1995
682 Transductive Inference for Text Classification using Support Vector Machines – Thorsten Joachims - 1999
195 Transductive Learning via Spectral Graph Partitioning – Thorsten Joachims - 2003
490 Semi-Supervised Learning Using Gaussian Fields and Harmonic Functions – Xiaojin Zhu , Zoubin Ghahramani, John Lafferty - 2003
130 Correcting sample selection bias by unlabeled data – Jiayuan Huang, Alexander J. Smola, Arthur Gretton, Karsten M. Borgwardt, Bernhard Schölkopf
3657 Convex Optimization – Stephen Boyd, Lieven Vandenberghe - 2004
268 Learning from Labeled and Unlabeled Data using Graph Mincuts – Avrim Blum , Shuchi Chawla - 2001
803 Text Classification from Labeled and Unlabeled Documents using EM – Kamal Nigam, Andrew Kachites Mccallum, Sebastian Thrun, Tom Mitchell - 1999
1244 Combining labeled and unlabeled data with co-training – Avrim Blum, Tom Mitchell - 1998
279 Semi-supervised learning – O Chapelle, B Schölkopf, A Zien - 2006
433 Learning with local and global consistency – Dengyong Zhou, Olivier Bousquet, Thomas Navin Lal, Jason Weston, Bernhard Schölkopf - 2004
489 An evaluation of statistical approaches to text categorization – Yiming Yang - 1999
1102 On Spectral Clustering: Analysis and an algorithm – Andrew Y. Ng, Michael I. Jordan, Yair Weiss - 2001
8058 Maximum likelihood from incomplete data via the EM algorithm – A. P. Dempster, N. M. Laird, D. B. Rubin - 1977
65 Improving SVM accuracy by training on auxiliary data sources – Pengcheng Wu, Thomas G. Dietterich - 2004
158 Frustratingly easy domain adaptation – H Daumé - 2007
2590 Normalized Cuts and Image Segmentation – Jianbo Shi, Jitendra Malik - 2000
112 Improving predictive inference under covariate shift by weighting the log-likelihood function – H Shimodaira
90 Boosting for transfer learning – Wenyuan Dai, Qiang Yang, Gui-rong Xue, Yong Yu - 2007