Active Bibliography

Information Diffusion Kernels – John Lafferty Carnegie, John Lafferty, Guy Lebanon - 2002
Acknowledgements Riemannian Geometry and Statistical Machine Learning Doctoral Thesis – Guy Lebanon - 2005
9 Riemannian geometry and statistical machine learning – Guy Lebanon - 2005
18 Augmented Statistical Models for Classifying Sequence Data – Martin Layton - 2006
1 A review of RKHS methods in machine learning – Thomas Hofmann, Bernhard Schölkopf, Alexander J. Smola - 2006
103 Towards a theoretical foundation for Laplacian-based manifold methods – Mikhail Belkin, Partha Niyogi - 2005
3 ON SEMI-SUPERVISED KERNEL METHODS – Vikas Sindhwani
48 Bankruptcy Analysis with Self-Organizing Maps in Learning Metrics – Samuel Kaski, Janne Sinkkonen, Jaakko Peltonen - 2001
9 The Locally Weighted Bag of Words Framework for Document Representation – Guy Lebanon, Yi Mao, Joshua Dillon
3 Trace and Determinant Kernels between Matrices – S. Kevin Zhou - 2004
4 Clustering, Dimensionality Reduction, and Side Information – Hiu Chung Law - 2006
49 Using Unlabeled Data to Improve Text Classification – Kamal Paul Nigam - 2001
2 Code Breaking for Automatic Speech Recognition – Veera Venkataramani
PRIOR KNOWLEDGE IN KERNEL METHODS – Alexei Pozdnoukhov, Alexei Pozdnoukhov
2 Kernel Methods for Text-Independent Speaker Verification – Chris Longworth - 2010
Generative Probabilistic Models for Image Retrieval – Vassilios Stathopoulos - 2012
34 Automatic Capacity Tuning of Very Large VC-dimension Classifiers – I. Guyon, B. Boser, V. Vapnik - 1993
15 Machine learning techniques for brain-computer interfaces – K.-R. Müller, M. Krauledat, G. Dornhege, G. Curio, B. Blankertz - 2004
373 An introduction to kernel-based learning algorithms – Klaus-Robert Müller, Sebastian Mika, Gunnar Rätsch, Koji Tsuda, Bernhard Schölkopf - 2001