Cluster Kernels for Semi-Supervised Learning
2003
Conference Paper
ei
We propose a framework to incorporate unlabeled data in kernel classifier, based on the idea that two points in the same cluster are more likely to have the same label. This is achieved by modifying the eigenspectrum of the kernel matrix. Experimental results assess the validity of this approach.
Author(s): | Chapelle, O. and Weston, J. and Schölkopf, B. |
Book Title: | Advances in Neural Information Processing Systems 15 |
Journal: | Advances in Neural Information Processing Systems |
Pages: | 585-592 |
Year: | 2003 |
Month: | October |
Day: | 0 |
Editors: | S Becker and S Thrun and K Obermayer |
Publisher: | MIT Press |
Department(s): | Empirische Inferenz |
Bibtex Type: | Conference Paper (inproceedings) |
Event Name: | 16th Annual Conference on Neural Information Processing Systems (NIPS 2002) |
Event Place: | Vancouver, BC, Canada |
Address: | Cambridge, MA, USA |
Digital: | 0 |
ISBN: | 0-262-02550-7 |
Organization: | Max-Planck-Gesellschaft |
School: | Biologische Kybernetik |
Links: |
PDF
Web |
BibTex @inproceedings{2051, title = {Cluster Kernels for Semi-Supervised Learning}, author = {Chapelle, O. and Weston, J. and Sch{\"o}lkopf, B.}, journal = {Advances in Neural Information Processing Systems}, booktitle = {Advances in Neural Information Processing Systems 15}, pages = {585-592}, editors = {S Becker and S Thrun and K Obermayer}, publisher = {MIT Press}, organization = {Max-Planck-Gesellschaft}, school = {Biologische Kybernetik}, address = {Cambridge, MA, USA}, month = oct, year = {2003}, doi = {}, month_numeric = {10} } |