Graph Based Semi-Supervised Learning with Sharper Edges
2006
Conference Paper
ei
In many graph-based semi-supervised learning algorithms, edge weights are assumed to be fixed and determined by the data points‘ (often symmetric)relationships in input space, without considering directionality. However, relationships may be more informative in one direction (e.g. from labelled to unlabelled) than in the reverse direction, and some relationships (e.g. strong weights between oppositely labelled points) are unhelpful in either direction. Undesirable edges may reduce the amount of influence an informative point can propagate to its neighbours -- the point and its outgoing edges have been ``blunted.‘‘ We present an approach to ``sharpening‘‘ in which weights are adjusted to meet an optimization criterion wherever they are directed towards labelled points. This principle can be applied to a wide variety of algorithms. In the current paper, we present one ad hoc solution satisfying the principle, in order to show that it can improve performance on a number of publicly available benchmark data sets.
Author(s): | Shin, H. and Hill, NJ. and Rätsch, G. |
Book Title: | ECML 2006 |
Journal: | Machine Learning: ECML 2006 |
Pages: | 401-412 |
Year: | 2006 |
Month: | September |
Day: | 0 |
Editors: | F{\"u}rnkranz, J. , T. Scheffer, M. Spiliopoulou |
Publisher: | Springer |
Department(s): | Empirical Inference |
Bibtex Type: | Conference Paper (inproceedings) |
DOI: | 10.1007/11871842_39 |
Event Name: | 17th European Conference on Machine Learning (ECML) |
Event Place: | Berlin, Germany |
Address: | Berlin, Germany |
Digital: | 0 |
Language: | en |
Organization: | Max-Planck-Gesellschaft |
School: | Biologische Kybernetik |
Links: |
PDF
Web |
BibTex @inproceedings{4165, title = {Graph Based Semi-Supervised Learning with Sharper Edges}, author = {Shin, H. and Hill, NJ. and R{\"a}tsch, G.}, journal = {Machine Learning: ECML 2006}, booktitle = {ECML 2006}, pages = {401-412}, editors = {F{\"u}rnkranz, J. , T. Scheffer, M. Spiliopoulou}, publisher = {Springer}, organization = {Max-Planck-Gesellschaft}, school = {Biologische Kybernetik}, address = {Berlin, Germany}, month = sep, year = {2006}, doi = {10.1007/11871842_39}, month_numeric = {9} } |