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Fisher Discriminant Analysis with Kernels [1%] by admin, 2007-01-31 11:08
A non–linear classification technique based on Fisher's discriminant is proposed. Main ingredient is the kernel trick which allows to efficiently ...
Support Vector Method for Multivariate Density Estimation [1%] by admin, 2007-01-31 11:08
A new method for multivariate density estimation is developed based on the Support Vector Method (SVM) solution of inverse ill-posed problems. The ...
Kernel method for percentile feature extraction [1%] by admin, 2007-01-31 11:08
A method is proposed which computes a direction in a dataset such that a specified fraction of a particular class of all examples is separated from the ...
A Generalized Representer Theorem [1%] by admin, 2007-01-31 11:08
Wahba's classical representer theorem states that the solutions of certain risk minimization problems involving an empirical risk term and a quadratic ...
Generalized Discriminant Analysis Using a Kernel Approach [1%] by admin, 2007-01-31 11:08
We present a new method that we call Generalized Discriminant Analysis (GDA) to deal with nonlinear discriminant analysis using kernel function ...
An expectation maximization approach to nonlinear component analysis [1%] by admin, 2007-01-31 11:08
Support Vector Machine Active Learning with Applications to Text Classification [1%] by admin, 2007-01-31 11:08
Restricted Bayes Optimal Classifiers [1%] by admin, 2007-01-31 11:08
Support Vector Machines for Large-Scale Regression Problems [1%] by admin, 2007-01-31 11:08
Support Vector Machines (SVMs) for regression problems are trained by solving a quadratic optimization problem which needs on the order of l^2 memory ...
Successive Overrelaxation for Support Vector Machines [1%] by admin, 2007-01-31 11:08
Data Discrimination via Nonlinear Generalized Support Vector Machines [1%] by admin, 2007-01-31 11:08
Robust Linear and Support Vector Regression [1%] by admin, 2007-01-31 11:08
Active Support Vector Machine Classification [1%] by admin, 2007-01-31 11:08
Lagrangian Support Vector Machines [1%] by admin, 2007-01-31 11:08
An Improved Decomposition Algorithm for Regression Support Vector Machines [1%] by admin, 2007-01-31 11:08
A Bayesian Approach to Inverse Quantum Statistics [1%] by admin, 2007-01-31 11:08
A nonparametric Bayesian approach is developed to determine quantum potentials from empirical data for quantum systems at finite temperature. The ...
Scaling-up Support Vector Machines Using Boosting Algorithm [1%] by admin, 2007-01-31 11:08
Towards Scalable Support Vector Machines Using Squashing [1%] by admin, 2007-01-31 11:08
On the convergence of the decomposition methods for support vector machines [1%] by admin, 2007-01-31 11:08
The decomposition method is currently one of the major methods for solving support vector machines (SVM). Its convergence properties have not been ...
Generalized Discriminant Analysis Using a Kernel Approach [1%] by admin, 2007-01-31 11:08
We present a new method that we call Generalized Discriminant Analysis (GDA) to deal with nonlinear discriminant analysis using kernel function ...
Alpha Seeding for Support Vector Machines [1%] by admin, 2007-01-31 11:08
Statistical Properties and Adaptive Tuning of Support Vector Machines [1%] by admin, 2007-01-31 11:08
In this review paper we consider the statistical aspects of support vector machines (SVMs) in the classification context, and describe an approach to ...
Smoothing Spline Analysis of Variance for Polychotomous Response Data [1%] by admin, 2007-01-31 11:07
This thesis discusses the use of penalized likelihood methods in the k-category case to estimate (p_1(x), ..., p_k(x)) where x is the attribute vector, ...
On the optimal parameter choice for $\nu$-support vector machines [1%] by admin, 2007-01-31 11:07
We determine the asymptotically optimal choice of the parameter $\nu$ for classifiers of $\nu$-support vector machine ($\nu$-SVM) type which has been ...
Gene selection for cancer classification using support vector machines [1%] by admin, 2007-01-31 11:07
We address the problem of selection of a small subset of genes from broad patterns of gene expression data, recorded on DNA micro-arrays. Using ...
Financial Time Series Prediction using Least Squares Support Vector Machines within the Evidence Framework [1%] by admin, 2007-01-31 11:07
On the Convergence of Leveraging [1%] by admin, 2007-01-31 11:07
Constructing Boosting Algorithms from SVMs: an Application to One-Class Classification [1%] by admin, 2007-01-31 11:07
Active Learning in the Drug Discovery Process [1%] by admin, 2007-01-31 11:07
Generalization Performance of Support Vector Machines and Other Pattern Classifiers [1%] by admin, 2007-01-31 11:07

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