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Learning with Kernels [1%] by admin, 2007-01-31 11:07
Unified presentation of regularized risk functionals, kernels, and cost functions for regression and classification. New uniform convergence bounds in ...
Dynamic Alignment Kernels [1%] by admin, 2007-01-31 11:07
A new concept using generative models to construct Dynamic Alignment Kernels is presented. These are based on the observation that the sum of products ...
Natural Regularization from Generative Models [1%] by admin, 2007-01-31 11:07
A class of kernels including the Fischer kernel recently proposed by Jaakola and Haussler is analyzed. The analysis hinges on information-geometric ...
Probabilities for SV Machines [1%] by admin, 2007-01-31 11:07
SVM do not immediately lead to confidence ratings. This problem is addressed by by fitting a logistic to the function values of a SVM in order to ...
Maximal Margin Perceptron [1%] by admin, 2007-01-31 11:07
Overview of sequential update algorithms for the Maximal Margin Perceptron. In particular, a new update method is derived which is based on the ...
Large Margin Rank Boundaries for Ordinal Regression [1%] by admin, 2007-01-31 11:07
Based on ideas from SV classification an algorithm is designed to obtain Large Margin Rank Boundaries for Ordinal Regression. In other words, a SV ...
Generalized Support Vector Machines [1%] by admin, 2007-01-31 11:07
Arbitrary kernel functions which need not satisfy Mercer's condition can be used. This goal is achieved by separating the regularizer from the actual ...
Linear Discriminant and Support Vector Classifiers [1%] by admin, 2007-01-31 11:07
Review of linear discriminant algorithms. SVMs in feature space are one special case of this, and the authors point out similarities and differences to ...
Regularization Networks and Support Vector Machines [1%] by admin, 2007-01-31 11:07
Uniform convergence results for kernel methods are reviewed and a new theoretical justification of SVM and Regularization Networks based on Structural ...
Robust Ensemble Learning [1%] by admin, 2007-01-31 11:07
Towards a Strategy for Boosting Regressors [1%] by admin, 2007-01-31 11:07
Bounds on error expectation for SVM [1%] by admin, 2007-01-31 11:07
Bounds on the Error Expectation for SVM in terms of the leave-one-out estimate and the expected value of certain properties of the SVM are given. It is ...
Publications [1%] by admin, 2008-11-11 09:39
Publications in the database on Kernel-Machines.Org
Frequently Asked Questions [1%] by admin, 2007-01-31 08:29
...about this web site
FAQ [1%] by admin, 2010-07-12 11:42
Frequently Asked Questions
km-news [1%] by admin, 2007-01-30 23:31
Folder that contains all events
New server [1%] by admin, 2007-01-30 23:42
The website has been rewritten from scratch
admin [1%] by admin, 2007-01-30 13:08
Members [1%] by admin, 2007-01-30 11:00
Container for portal members' home directories
Events [1%] by admin, 2007-01-30 11:00
Site Events
Past Events [1%] by admin, 2007-01-30 11:00
Events which have already happened.
Special Issue of JMLR [1%] by admin, 2007-02-12 10:46
Editorial Board Enlarged [1%] by admin, 2007-02-12 10:44
To broaden the scope of the web site and improve the representation of non-SVM kernel methods, we have invited Grace Wahba and Chris Williams to join the ...
NIPS Workshop on Kernel Methods [1%] by admin, 2007-02-12 10:43
We are happy to announce a NIPS workshop on kernel methods
Special Journal Section on Kernel Methods [1%] by admin, 2007-02-12 10:42 opens [1%] by admin, 2007-02-12 10:41
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 ...
Special Issue of Machine Learning Journal [1%] by admin, 2007-02-12 10:41
Following the NIPS'99 Workshop on Support Vectors there will be a special issue on this topic in the Journal of Machine Learning.

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