# Search results

Did you not find what you were looking for? Try the Advanced Search for more precise search options.

**837 items matching your criteria.**

- 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