Call for NIPS 2008 Kernel Learning Workshop Submissions
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www.kernel-machines.org opens
We are pleased to announce a new website on Kernel Machines and related methods. It is a superset of the Support Vector website at GMD FIRST. Most links to svm.first.gmd.de will still be operational and should result in the near future (as soon as the changes are made to the site in Berlin) in a redirect of your browser to the new site. However, we would like to ask you to update any existing links.
Compared to the old site, the main difference is that we have enlarged the scope to form a repository not only for research on SVMs, but also Gaussian Process prediction, Mathematical Programming with Kernels, Regularization Networks, Reproducing Kernel Hilbert Spaces, and related methods. The aim is to serve as a central information source by providing links to papers, upcoming events, datasets, code, a discussion board, etc.
On the technical side, novelties include the fact that data entry is now fully automatic, papers can be uploaded to the website, there exists a search option for papers, and data can also be provided in BibTeX format which should make it easier referencing to papers available at the site.
We would like to express thanks to GMD FIRST for allowing us to host the webpage in the past three years in Berlin. Links to research at the Berlin group on Intelligent Data Analysis can now be found here.
The changes were needed since the boundaries between Support Vectors and other methods have become less well defined and we feel that there is scientific benefit in bringing the various research areas together. Moreover Alex Smola and Bernhard Schölkopf have moved to the Australian National University (Canberra), and Microsoft Research (Cambridge), respectively. The server is located at the Australian National University. We thank ANU for the resources.
The organizational structure is novel. From the beginning, we have strived to create a forum which would provide a balanced representation of the emerging field of SVM and kernel methods research. It is our hope that this forum has contributed its share to the exciting developments that all of us have witnessed over the last years. Now that the field has become more mature, we felt that it was time to support the website with an editorial board. This change also reflects the increasing importance of dissemination of research via the world wide web. If web sites gradually take over part of what journals were responsible for in the past, then they should also adhere to comparable levels of scholarly standards. We believe that the changes will ensure that the website will continue to be a useful resource for researchers.
The editorial board comprises Nello Cristianini, Royal Holloway College, University of London, Bernhard Schölkopf, Microsoft Research, Cambridge (UK), John Shawe-Taylor, Royal Holloway College, University of London, Alex Smola, Australian National University, Canberra, Vladimir Vapnik, AT&T, New Jersey, Bob Williamson, Australian National University, Canberra.