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The Geometry Of Kernel Canonical Correlation Analysis [1%] by admin, 2007-01-31 11:09
Dimensionality reduction for supervised learning with Reproducing Kernel Hilbert Spaces [1%] by admin, 2007-01-31 11:09
Sparseness of Support Vector Machines [1%] by admin, 2007-01-31 11:09
On robustness properties of convex risk minimization methods for pattern recognition [1%] by admin, 2007-01-31 11:09
Tangent Distance Kernels for Support Vector Machines [1%] by admin, 2007-01-31 11:09
A Probabilistic Active Support Vector Learning Algorithm [1%] by admin, 2007-01-31 11:09
The article describes a probabilistic active learning
Feature vector selection and projection using kernels [1%] by admin, 2007-01-31 11:09
On Initialising nu-Support Vector Machine Training [1%] by admin, 2007-01-31 11:09
An Implementation of Training Dual-nu Support Vector Machines [1%] by admin, 2007-01-31 11:09
Scale-Invariance of Support Vector Machines Based on the Triangular Kernel [1%] by admin, 2007-01-31 11:09
Gaussian Processes for Machine Learning [1%] by admin, 2007-01-31 11:09
Interest Rate Curve Estimation: a Financial Application for Support Vector Regression [1%] by admin, 2007-01-31 11:09
The Support Vector Regression (SVR) is applied on a key problem in financial economics: interest rate curve estimation. The SVR is able to introduce ...
Geometric Methods for Feature Extraction and Dimensional Reduction: A Guided Tour [1%] by admin, 2007-01-31 11:09
We give a tutorial overview of several geometric methods for feature extraction and dimensional reduction. We divide the methods into projective ...
DYnamical Modeling with kernels for Nonlinear Time Series [1%] by admin, 2007-01-31 11:09
Kernel Models for Large Scale Applications [1%] by admin, 2007-01-31 11:09
As a result of the ever-growing influence of IT in
A Modified Algorithm for Generalized Discriminant [1%] by admin, 2007-01-31 11:09
Foley-Sammon Optimal Discriminant Vectors Using kernel [1%] by admin, 2007-01-31 11:09
Gaussian Processes for Machine Learning [1%] by admin, 2007-01-31 11:09
Functional Gradient Techniques for Combining Hypotheses [1%] by admin, 2007-01-31 11:08
Entropy Numbers for Convex Combinations and MLPs [1%] by admin, 2007-01-31 11:08
Improved bounds on the entropy numbers of convex combinations of parameterized functions (such as combinations of classifiers) and compositions of ...
Adaptive Margin Support Vector Machines [1%] by admin, 2007-01-31 11:08
Based on a leave-one-out bound of Jaakola and Haussler a modification of the original SV algorithm is devised in order to minimize the bound directly. ...
GACV for Support Vector Machines [1%] by admin, 2007-01-31 11:08
This paper views SVMs as a regularization technique in a reproducing kernel Hilbert space. The generalized comparative Kullback-Leibler distance (GCKL) ...
Gaussian Processes and SVM: Mean Field and Leave-One-Out [1%] by admin, 2007-01-31 11:08
This paper gives an overview of the connections between Gaussian Processes and SV machines and the implications for cost functions and corresponding ...
Computing the Bayes Kernel Classifier [1%] by admin, 2007-01-31 11:08
In the so-called version space view of classification, the SVM solution of a separable learning problem corresponds to the center of the largest ...
Margin Distribution and Soft Margin [1%] by admin, 2007-01-31 11:08
Rather than considering the minimum margin, the paper focuses on the margin distribution. The latter is a more robust quantity than the minimum margin ...
Support Vectors and Statistical Mechanics [1%] by admin, 2007-01-31 11:08
SVMs are analyzed using methods of statistical mechanics by representing the SVM solution as the limit of a family of Gibbs distributions. This way, ...
On Support Vector Decision Trees for Database Marketing [1%] by admin, 2007-01-31 11:08
Generalized Support Vector Machines [1%] by admin, 2007-01-31 11:08
Successive overrelaxation for support vector machines [1%] by admin, 2007-01-31 11:08
Mathematical Programming Approaches to Machine Learning and Data Mining [1%] by admin, 2007-01-31 11:08

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